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GECCO 2005: Washington, DC, USA
- Hans-Georg Beyer, Una-May O'Reilly:
Genetic and Evolutionary Computation Conference, GECCO 2005, Proceedings, Washington DC, USA, June 25-29, 2005. ACM 2005, ISBN 1-59593-010-8
Artificial life, evolutionary robotics, and adaptive behavior
- Chandana Paul, Hod Lipson
, Francisco J. Valero Cuevas:
Evolutionary form-finding of tensegrity structures. 3-10 - Vinod K. Valsalam, James A. Bednar, Risto Miikkulainen:
Constructing good learners using evolved pattern generators. 11-18 - Justin Schonfeld, Daniel A. Ashlock:
A study of evolutionary robustness in stochastically tiled polyominos. 19-26 - Ricardo Landa Becerra, Carlos A. Coello Coello
Optimization with constraints using a cultured differential evolution approach. 27-34 - Matthias Scheutz
Predicting population dynamics and evolutionary trajectories based on performance evaluations in alife simulations. 35-42 - Keith L. Downing:
The predictive basis of situated and embodied artificial intelligence. 43-50 - Michelle McPartland, Stefano Nolfi, Hussein A. Abbass
Emergence of communication in competitive multi-agent systems: a pareto multi-objective approach. 51-58 - Daniel A. Ashlock, Eun-Youn Kim:
The impact of cellular representation on finite state agents for prisoner's dilemma. 59-66 - Hong-Long Liang, Chungnan Lee, Jain-Shing Wu:
Multiplex PCR primer design for gene family using genetic algorithm. 67-74 - A. E. Eiben, Martijn C. Schut, T. Toma:
Comparing multicast and newscast communication in evolving agent societies. 75-81 - Timothy G. W. Gordon, Peter J. Bentley:
Bias and scalability in evolutionary development. 83-90 - Sean Luke:
Evolutionary computation and the c-value paradox. 91-97 - John Rieffel, Jordan B. Pollack:
Automated assembly as situated development: using artificial ontogenies to evolve buildable 3-D objects. 99-106 - Ron Breukelaar, Thomas Bäck
Using a genetic algorithm to evolve behavior in multi dimensional cellular automata: emergence of behavior. 107-114 - Ehud Schlessinger, Peter J. Bentley, R. Beau Lotto:
Evolving visually guided agents in an ambiguous virtual world. 115-120 - Renato Reder Cazangi, Fernando J. Von Zuben
Autonomous navigation system applied to collective robotics with ant-inspired communication. 121-128 - Anthony Brabazon
Agent-based modelling of product invention. 129-136 - Andrew Stout, Lee Spector:
Validation of evolutionary activity metrics for long-term evolutionary dynamics. 137-142
Poster Session: Artificial life, evolutionary robotics, and adaptive behavior
- Tadahiko Murata, Masatoshi Yamaguchi:
Neighboring crossover to improve GA-based Q-learning method for multi-legged robot control. 145-146 - Gary B. Parker, Ramona Georgescu:
Evolution of multi-loop controllers for fixed morphology with a cyclic genetic algorithm. 147-148 - Artur Matos, Reiji Suzuki, Takaya Arita:
Evolutionary models for maternal effects in simulated developmental systems. 149-150
Ant colony optimization and swarm intelligence
- Horst F. Wedde, Muddassar Farooq, Thorsten Pannenbaecker, Bjoern Vogel, Christian Mueller, Johannes Meth, René Jeruschkat:
BeeAdHoc: an energy efficient routing algorithm for mobile ad hoc networks inspired by bee behavior. 153-160 - Matthew Settles
Breeding swarms: a GA/PSO hybrid. 161-168 - Riccardo Poli
Exploring extended particle swarms: a genetic programming approach. 169-176 - Swagatam Das, Amit Konar, Uday Kumar Chakraborty:
Improving particle swarm optimization with differentially perturbed velocity. 177-184 - Matthew Settles
Breeding swarms: a new approach to recurrent neural network training. 185-192 - Christopher K. Monson, Kevin D. Seppi:
Bayesian optimization models for particle swarms. 193-200 - James Kennedy:
Dynamic-probabilistic particle swarms. 201-207 - Angel Eduardo Muñoz Zavala, Arturo Hernández Aguirre, Enrique Raúl Villa Diharce:
Constrained optimization via particle evolutionary swarm optimization algorithm (PESO). 209-216 - Vegard Hartmann:
Evolving agent swarms for clustering and sorting. 217-224 - Efrén Mezura-Montes
Promising infeasibility and multiple offspring incorporated to differential evolution for constrained optimization. 225-232 - Mark Fleischer:
Scale invariant pareto optimality: a meta--formalism for characterizing and modeling cooperativity in evolutionary systems. 233-240 - Christopher K. Monson, Kevin D. Seppi:
Exposing origin-seeking bias in PSO. 241-248 - Wai-Kuan Foong, Holger R. Maier
Ant colony optimization for power plant maintenance scheduling optimization. 249-256 - Carlo R. Raquel, Prospero C. Naval Jr.:
An effective use of crowding distance in multiobjective particle swarm optimization. 257-264
Poster Session: Ant colony optimization and swarm intelligence
- Bo-Fu Liu, Hung-Ming Chen, Jian-Hung Chen, Shiow-Fen Hwang, Shinn-Ying Ho:
MeSwarm: memetic particle swarm optimization. 267-268 - Mohammed El-Abd, Mohamed Kamel:
Factors governing the behavior of multiple cooperating swarms. 269-270 - Thang Nguyen Bui, Mufit Colpan:
Solving geometric TSP with ants. 271-272 - Thomas Schmickl
Simulating swarm intelligence in honey bees: foraging in differently fluctuating environments. 273-274 - Rafael Bello
A model based on ant colony system and rough set theory to feature selection. 275-276 - Zhihua Cui, Jianchao Zeng:
A modified particle swarm optimization predicted by velocity. 277-278
Artificial immune systems
- Zhou Ji, Dipankar Dasgupta:
Estimating the detector coverage in a negative selection algorithm. 281-288 - Fabrício Olivetti de França, Fernando J. Von Zuben, Leandro Nunes de Castro:
An artificial immune network for multimodal function optimization on dynamic environments. 289-296 - Fabio A. González, Juan Carlos Galeano, Diego Alexander Rojas, Angélica Veloza-Suan:
Discriminating and visualizing anomalies using negative selection and self-organizing maps. 297-304 - Zaiyi Guo, Hann Kwang Han, Joc Cing Tay:
Sufficiency verification of HIV-1 pathogenesis based on multi-agent simulation. 305-312 - Peter Spellward, Tim Kovacs:
On the contribution of gene libraries to artificial immune systems. 313-319 - Thomas Stibor, Philipp H. Mohr, Jonathan Timmis
Is negative selection appropriate for anomaly detection? 321-328 - Jui-Yu Wu, Yun-Kung Chung:
Artificial immune system for solving generalized geometric problems: a preliminary results. 329-336 - Joseph M. Shapiro, Gary B. Lamont, Gilbert L. Peterson:
An evolutionary algorithm to generate hyper-ellipsoid detectors for negative selection. 337-344 - Xiaoshu Hang, Honghua Dai:
Applying both positive and negative selection to supervised learning for anomaly detection. 345-352 - Ian Nunn, Tony White:
The application of antigenic search techniques to time series forecasting. 353-360 - Juan Carlos Galeano, Angélica Veloza-Suan, Fabio A. González
A comparative analysis of artificial immune network models. 361-368
Poster Session: Artificial immune systems
- Helder Knidel, Leandro Nunes de Castro
RABNET: a real-valued antibody network for data clustering. 371-372 - Maoguo Gong
Performance assessment of an artificial immune system multiobjective optimizer by two improved metrics. 373-374
Biological applications
- Joshua L. Payne, Margaret J. Eppstein:
A hybrid genetic algorithm with pattern search for finding heavy atoms in protein crystals. 377-384 - Thang Nguyen Bui, Gnanasekaran Sundarraj:
An efficient genetic algorithm for predicting protein tertiary structures in the 2D HP model. 385-392 - Praveen Koduru, Sanjoy Das
A co-evolutionary hybrid algorithm for multi-objective optimization of gene regulatory network models. 393-399 - Rolv Seehuus, Amund Tveit, Ole Edsberg:
Discovering biological motifs with genetic programming. 401-408 - Gloria Childress Townsend, Wade N. Hazel, Rick Smock:
Using evolutionary computation methods to support analytical models for the evolution and maintenance of conditional strategies in chthamalus anisopoma. 409-414 - Leon Poladian
A GA for maximum likelihood phylogenetic inference using neighbour-joining as a genotype to phenotype mapping. 415-422 - Tim Hohm
A multi-objective evolutionary approach to peptide structure redesign and stabilization. 423-429 - Habtom W. Ressom, Rency S. Varghese, Daniel Saha, Eduard Orvisky, Lenka Goldman, Emanuel F. Petricoin, Thomas P. Conrads, Timothy D. Veenstra, Mohamed Abdel-Hamid, Christopher A. Loffredo, Radoslav Goldman:
Particle swarm optimization for analysis of mass spectral serum profiles. 431-438 - Nasimul Noman
Inference of gene regulatory networks using s-system and differential evolution. 439-446 - Dongsheng Che, Yinglei Song, Khaled Rasheed:
MDGA: motif discovery using a genetic algorithm. 447-452 - Topon Kumar Paul, Hitoshi Iba:
Extraction of informative genes from microarray data. 453-460 - Hiram A. Firpi, Erik D. Goodman
Epileptic seizure detection by means of genetically programmed artificial features. 461-466
Poster Session: Biological applications
- Christian Spieth, Felix Streichert, Nora Speer, Andreas Zell:
Identifying valid solutions for the inference of regulatory networks. 469-470 - David E. Cairns, G. J. Cameron, T. J. Wess:
Evolving an improved axial structure for fibrillar collagen. 471-472 - Jesús S. Aguilar-Ruiz
GA-based approach to discover meaningful biclusters. 473-474 - Feng-Mao Lin, Hsien-Da Huang, Hsi-Yuan Huang, Jorng-Tzong Horng:
Primer design for multiplex PCR using a genetic algorithm. 475-476 - Pasut Seeluangsawat, Prabhas Chongstitvatana:
A multiple objective evolutionary algorithm for multiple sequence alignment. 477-478 - Kay C. Wiese, Andrew Hendriks, Alain Deschênes, Belgacem Ben Youssef:
The impact of pseudorandom number quality on P-RnaPredict, a parallel genetic algorithm for RNA secondary structure prediction. 479-480
Coevolution
- Edwin D. de Jong:
The MaxSolve algorithm for coevolution. 483-489 - Faustino J. Gomez, Jürgen Schmidhuber:
Co-evolving recurrent neurons learn deep memory POMDPs. 491-498 - Sevan G. Ficici:
Monotonic solution concepts in coevolution. 499-506 - Elena Popovici, Kenneth A. De Jong:
Understanding cooperative co-evolutionary dynamics via simple fitness landscapes. 507-514 - Pablo Funes, Enrique Pujals:
Intransitivity revisited coevolutionary dynamics of numbers games. 515-521 - Nathan Williams, Melanie Mitchell:
Investigating the success of spatial coevolution. 523-530 - Josh C. Bongard, Hod Lipson
'Managed challenge' alleviates disengagement in co-evolutionary system identification. 531-538 - Anthony Bucci, Jordan B. Pollack:
On identifying global optima in cooperative coevolution. 539-544 - Chien-Feng Huang, Luis M. Rocha:
Tracking extrema in dynamic environments using a coevolutionary agent-based model of genotype edition. 545-552
Poster Session: Coevolution
- Deborah Vakas Duong, John J. Grefenstette:
The emulation of social institutions as a method of coevolution. 555-556 - Jeffrey Horn:
Shape nesting by coevolving species. 557-558 - Christophe Philemotte, Hugues Bersini:
Intrinsic emergence boosts adaptive capacity. 559-560
Evolutionary combinatorial optimization
- Katharina Anna Lehmann
Evolutionary algorithms for the self-organized evolution of networks. 563-570 - Christian Gunia:
On the analysis of the approximation capability of simple evolutionary algorithms for scheduling problems. 571-578 - Benjamin Skellett, Benjamin Cairns
Maximally rugged NK landscapes contain the highest peaks. 579-584 - Bryant A. Julstrom:
The blob code is competitive with edge-sets in genetic algorithms for the minimum routing cost spanning tree problem. 585-590 - Kagan Tumer, Adrian K. Agogino:
Coordinating multi-rover systems: evaluation functions for dynamic and noisy environments. 591-598 - Anne Defaweux, Tom Lenaerts
Transition models as an incremental approach for problem solving in evolutionary algorithms. 599-606 - Bryant A. Julstrom:
Greedy, genetic, and greedy genetic algorithms for the quadratic knapsack problem. 607-614 - Germán Jairo Hernández, Kenneth Wilder, Fernando Niño, Julian Garcia:
Towards a self-stopping evolutionary algorithm using coupling from the past. 615-620 - Jing Tang, Meng-Hiot Lim, Yew-Soon Ong, Meng Joo Er:
Solving large scale combinatorial optimization using PMA-SLS. 621-628 - Yourim Yoon, Yong-Hyuk Kim, Byung Ro Moon:
An evolutionary lagrangian method for the 0/1 multiple knapsack problem. 629-635 - Hugo Terashima-Marín
Hyper-heuristics and classifier systems for solving 2D-regular cutting stock problems. 637-643
Poster Session: Evolutionary combinatorial optimization
- Lina Perelman, Avi Ostfeld
Water distribution systems optimal design using cross entropy. 647-648 - István Borgulya:
A hybrid evolutionary algorithm for the p-median problem. 649-650 - Zong Woo Geem
Harmony search for structural design. 651-652
Estimation of distribution algorithms
- Martin V. Butz
Extracted global structure makes local building block processing effective in XCS. 655-662 - Martin Pelikan
Multiobjective hBOA, clustering, and scalability. 663-670 - Kumara Sastry, Hussein A. Abbass
Sub-structural niching in estimation of distribution algorithms. 671-678 - Stefan Droste:
Not all linear functions are equally difficult for the compact genetic algorithm. 679-686 - Ivan Tanev:
Learned mutation strategies in genetic programming for evolution and adaptation of simulated snakebot. 687-694 - Alden H. Wright, Sandeep Pulavarty:
On the convergence of an estimation of distribution algorithm based on linkage discovery and factorization. 695-702 - Jun Sakuma, Shigenobu Kobayashi:
Real-coded crossover as a role of kernel density estimation. 703-710 - Shengxiang Yang:
Population-based incremental learning with memory scheme for changing environments. 711-718 - Bo Yuan
On the importance of diversity maintenance in estimation of distribution algorithms. 719-726 - Siddhartha Shakya
Using a Markov network model in a univariate EDA: an empirical cost-benefit analysis. 727-734 - Cláudio F. Lima, Kumara Sastry, David E. Goldberg, Fernando G. Lobo
Combining competent crossover and mutation operators: a probabilistic model building approach. 735-742
Poster Session: Estimation of distribution algorithms
- Yi Hong, Qingsheng Ren, Jin Zeng:
Genetic drift in univariate marginal distribution algorithm. 745-746 - Moshe Looks, Ben Goertzel, Cassio Pennachin:
Learning computer programs with the bayesian optimization algorithm. 747-748 - Sergio Ivvan Valdez Peña, Salvador Botello Rionda, Arturo Hernández Aguirre:
Multiobjective shape optimization with constraints based on estimation distribution algorithms and correlated information. 749-750 - Chien-Feng Huang, Stefan Bieniawski, David H. Wolpert, Charlie E. M. Strauss:
A comparative study of probability collectives based multi-agent systems and genetic algorithms. 751-752
Evolutionary multiobjective optimization
- Peter A. N. Bosman, Edwin D. de Jong:
Exploiting gradient information in numerical multi--objective evolutionary optimization. 755-762 - Frank Neumann
Minimum spanning trees made easier via multi-objective optimization. 763-769 - Mian Li, Shapour Azarm
A multi-objective genetic algorithm for robust design optimization. 771-778 - Lam Thu Bui
Fitness inheritance for noisy evolutionary multi-objective optimization. 779-785 - Hisao Ishibuchi
Comparison of evolutionary multiobjective optimization with rference solution-based single-objective approach. 787-794 - Yang Zhang, Peter I. Rockett:
Evolving optimal feature extraction using multi-objective genetic programming: a methodology and preliminary study on edge detection. 795-802 - Mary E. Kurz
Minimizing total flowtime and maximum earliness on a single machine using multiple measures of fitness. 803-809 - Kai Xu, Sushil J. Louis, Roberto C. Mancini:
A scalable parallel genetic algorithm for x-ray spectroscopic analysis. 811-816 - Hisao Ishibuchi
An empirical study on the handling of overlapping solutions in evolutionary multiobjective optimization. 817-824
Poster Session: Evolutionary multiobjective optimization
- Karlheinz Schmitt, Jörn Mehnen
Using predators and preys in evolution strategies. 827-828 - Shinya Watanabe, Kazutoshi Sakakibara:
The effectiveness of multiobjective optimizer in single-objective optimization enviroment. 829-830
Evolutionary strategies and evolutionary programming
- Tobias Storch
On the impact of objective function transformations on evolutionary and black-box algorithms. 833-840 - Thomas Jansen
Theoretical analysis of a mutation-based evolutionary algorithm for a tracking problem in the lattice. 841-848 - Jens Jägersküpper, Carsten Witt:
Rigorous runtime analysis of a (µ+1)ES for the sphere function. 849-856 - Anne Auger, Marc Schoenauer
Local and global order 3/2 convergence of a surrogate evolutionary algorithm. 857-864 - Mike Preuss, Lutz Schönemann, Michael Emmerich:
Counteracting genetic drift and disruptive recombination in (µ, +lambda)-EA on multimodal fitness landscapes. 865-872 - Xiaodong Li:
Efficient differential evolution using speciation for multimodal function optimization. 873-880 - Junhong Liu, Jouni Lampinen:
A differential evolution based incremental training method for RBF networks. 881-888 - Pei Yee Ho, Kazuyuki Shimizu:
Simple addition of ranking method for constrained optimization in evolutionary algorithms. 889-896 - Michael Nashvili, Markus Olhofer, Bernhard Sendhoff
Morphing methods in evolutionary design optimization. 897-904 - Tanasanee Phienthrakul, Boonserm Kijsirikul:
Evolutionary strategies for multi-scale radial basis function kernels in support vector machines. 905-911
Poster Session: Evolutionary strategies and evolutionary programming
- Ofer M. Shir, Thomas Bäck
Niching in evolution strategies. 915-916 - Oliver Kramer, Chuan-Kang Ting, Hans Kleine Büning:
A mutation operator for evolution strategies to handle constrained problems. 917-918 - Karlheinz Schmitt:
Using gene deletion and gene duplication in evolution strategies. 919-920 - Sadiq M. Sait, Syed Sanaullah, Ali Mustafa Zaidi, Mustafa I. Ali:
Comparative evaluation of parallelization strategies for evolutionary and stochastic heuristics. 921-922 - Lutz Schönemann:
Optimal number of evolution strategies mutation step sizes in dynamic environments. 923-924
Evolutionary hardware
- Didier Keymeulen, Wolfgang Fink, Michael I. Ferguson, Chris Peay, Boris Oks, Richard Terrile, Karl Yee:
Evolutionary computation applied to the tuning of MEMS gyroscopes. 927-932 - Saranyan A. Vigraham, John C. Gallagher, Sanjay K. Boddhu
Evolving analog controllers for correcting thermoacoustic instability in real hardware. 933-940 - Lucian Prodan, Mihai Udrescu, Mircea Vladutiu:
Multiple-level concatenated coding in embryonics: a dependability analysis. 941-948 - Malay Kumar Pakhira, Rajat K. De:
A hardware pipeline for function optimization using genetic algorithms. 949-956 - Rusty Hunt, Gregory Hornby, Jason D. Lohn:
Toward evolved flight. 957-964
Meta-heuristics and local search
- Nasimul Noman
Enhancing differential evolution performance with local search for high dimensional function optimization. 967-974 - John F. McLoughlin III, Walter Cedeño:
The enhanced evolutionary tabu search and its application to the quadratic assignment problem. 975-982 - David Quintana
Evolutionary rule-based system for IPO underpricing prediction. 983-989 - Swagatam Das, Amit Konar, Uday Kumar Chakraborty:
Two improved differential evolution schemes for faster global search. 991-998 - Abraham Duarte
A low-level hybridization between memetic algorithm and VNS for the max-cut problem. 999-1006
Poster Session: Meta-heuristics and local search
- Salem Fawaz Adra, Ian Griffin, Peter J. Fleming
Hybrid multiobjective genetic algorithm with a new adaptive local search process. 1009-1010
Search-based software engineering
- Phil McMinn, Mike Holcombe:
Evolutionary testing of state-based programs. 1013-1020 - Lionel C. Briand, Yvan Labiche
Stress testing real-time systems with genetic algorithms. 1021-1028 - Mark Harman
An empirical study of the robustness of two module clustering fitness functions. 1029-1036 - Concettina Del Grosso, Giuliano Antoniol, Massimiliano Di Penta
Improving network applications security: a new heuristic to generate stress testing data. 1037-1043 - Olaf Seng, Markus Bauer, Matthias Biehl, Gert Pache:
Search-based improvement of subsystem decompositions. 1045-1051 - Stefan Wappler, Frank Lammermann:
Using evolutionary algorithms for the unit testing of object-oriented software. 1053-1060 - Yuan Zhan, John A. Clark:
Search-based mutation testing for Simulink models. 1061-1068 - Gerardo Canfora
An approach for QoS-aware service composition based on genetic algorithms. 1069-1075
Poster Session: Search-based software engineering
- Andrew M. Sutton, Huzefa H. Kagdi, Jonathan I. Maletic, L. Gwenn Volkert:
Hybridizing evolutionary algorithms and clustering algorithms to find source-code clones. 1079-1080 - Karnig Derderian, Robert M. Hierons
Generating feasible input sequences for extended finite state machines (EFSMs) using genetic algorithms. 1081-1082 - Frank Lammermann, Stefan Wappler:
Benefits of software measures for evolutionary white-box testing. 1083-1084 - Joseph Haas, Maxim Peysakhov, Spiros Mancoridis:
GA-based parameter tuning for multi-agent systems. 1085-1086
Genetic algorithms
- Shengxiang Yang:
Memory-based immigrants for genetic algorithms in dynamic environments. 1115-1122 - Enrique Alba
Advanced models of cellular genetic algorithms evaluated on SAT. 1123-1130 - Artem Sokolov
Unbiased tournament selection. 1131-1138 - Raúl Giráldez, Jesús S. Aguilar-Ruiz
Feature influence for evolutionary learning. 1139-1145 - U. Chandimal de Silva, Joe Suzuki:
On the stationary distribution of GAs with fixed crossover probability. 1147-1151 - Nicholas Freitag McPhee, Ellery Fussell Crane:
A theoretical analysis of the HIFF problem. 1153-1160 - Dirk Sudholt:
Crossover is provably essential for the ising model on trees. 1161-1167 - Dong-il Seo, Byung Ro Moon:
Computing the epistasis variance of large-scale traveling salesman problems. 1169-1176 - Ivan I. Garibay
On favoring positive correlations between form and quality of candidate solutions via the emergence of genomic self-similarity. 1177-1184 - Chongshan Zhang, Khaled Rasheed:
Improving GA search reliability using maximal hyper-rectangle analysis. 1185-1192 - Helio J. C. Barbosa, Afonso C. C. Lemonge:
A genetic algorithm encoding for a class of cardinality constraints. 1193-1200 - Edwin D. de Jong, Richard A. Watson
On the complexity of hierarchical problem solving. 1201-1208 - Monte Lunacek, L. Darrell Whitley, James N. Knight:
Measuring mobility and the performance of global search algorithms. 1209-1216 - Tian-Li Yu, Kumara Sastry, David E. Goldberg:
Linkage learning, overlapping building blocks, and systematic strategy for scalable recombination. 1217-1224 - Shimon Whiteson, Peter Stone, Kenneth O. Stanley, Risto Miikkulainen, Nate Kohl:
Automatic feature selection in neuroevolution. 1225-1232 - J. Neal Richter, John T. Paxton, Alden H. Wright:
EA models and population fixed-points versus mutation rates for functions of unitation. 1233-1240 - Sung-Soon Choi, Kyomin Jung, Jeong Han Kim:
Phase transition in a random NK landscape model. 1241-1248 - Hal Stringer, Annie S. Wu:
Behavior of finite population variable length genetic algorithms under random selection. 1249-1255 - Sima Uyar
Improvements to penalty-based evolutionary algorithms for the multi-dimensional knapsack problem using a gene-based adaptive mutation approach. 1257-1264 - Lee K. Graham, Hassan Masum, Franz Oppacher:
Statistical analysis of heuristics for evolving sorting networks. 1265-1270 - Shane Legg, Marcus Hutter
Fitness uniform deletion: a simple way to preserve diversity. 1271-1278 - Abdullah Konak
Designing resilient networks using a hybrid genetic algorithm approach. 1279-1285 - Yossi Borenstein, Riccardo Poli
Information landscapes and the analysis of search algorithms. 1287-1294 - Zbigniew Skolicki, Kenneth A. De Jong:
The influence of migration sizes and intervals on island models. 1295-1302 - Maria Teresa Iglesias, Bart Naudts, Alain Verschoren, Concepción Vidal
Walsh transforms, balanced sum theorems and partition coefficients over multary alphabets. 1303-1308 - Adrian K. Agogino, Kagan Tumer, Risto Miikkulainen:
Efficient credit assignment through evaluation function decomposition. 1309-1316 - Ayse S. Yilmaz, Annie S. Wu:
Preservation of genetic redundancy in the existence of developmental error and fitness assignment error. 1317-1324 - Kai Wing Tang, Ray A. Jarvis:
From supervised ranking to evolving behaviours of a robotic team. 1325-1332 - Mario Giacobini
Takeover time curves in random and small-world structured populations. 1333-1340 - Shuhei Kimura, Koki Matsumura:
Genetic algorithms using low-discrepancy sequences. 1341-1346 - Jun Sakuma, Shigenobu Kobayashi:
Latent variable crossover for k-tablet structures and its application to lens design problems. 1347-1354 - Alexei V. Samsonovich
Pricing the 'free lunch' of meta-evolution. 1355-1362 - Xavier Llorà, Kumara Sastry, David E. Goldberg, Abhimanyu Gupta, Lalitha Lakshmi:
Combating user fatigue in iGAs: partial ordering, support vector machines, and synthetic fitness. 1363-1370 - Jeffrey K. Bassett, Mitchell A. Potter, Kenneth A. De Jong:
Applying price's equation to survival selection. 1371-1378 - David Pardoe, Michael S. Ryoo, Risto Miikkulainen:
Evolving neural network ensembles for control problems. 1379-1384 - Carlos Kavka
Evolution of Voronoi based fuzzy recurrent controllers. 1385-1392 - Yong-Hyuk Kim, Byung Ro Moon:
New topologies for genetic search space. 1393-1399 - William A. Greene:
Schema disruption in tree-structured chromosomes. 1401-1408 - Lixin Ding, Jinghu Yu:
Some theoretical results about the computation time of evolutionary algorithms. 1409-1415 - Shin Ando
Adaptive isolation model using data clustering for multimodal function optimization. 1417-1424 - Yossi Borenstein, Riccardo Poli
Information landscapes and problem hardness. 1425-1431 - Jürgen Branke, Erdem Salihoglu, Sima Uyar
Towards an analysis of dynamic environments. 1433-1440 - Guofang Nan, Minqiang Li, Jisong Kou:
Multi-level genetic algorithm (MLGA) for the construction of clock binary tree. 1441-1445 - Yiyuan Gong, Morikazu Nakamura, Shiro Tamaki:
Parallel genetic algorithms on line topology of heterogeneous computing resources. 1447-1454 - Jian-Hung Chen, Shinn-Ying Ho, David E. Goldberg:
Quality-time analysis of multi-objective evolutionary algorithms. 1455-1462 - TeongJoo Ong, Ryan Saunders, John Keyser
Terrain generation using genetic algorithms. 1463-1470 - Chen-hsiung Chan, Sheng-An Lee, Cheng-Yan Kao, Huai-Kuang Tsai
Improving EAX with restricted 2-opt. 1471-1476 - Serkan Yilmaz, Kostadin Ivanov, Samuel Levine:
Application of genetic algorithm to optimize burnable poison placement in pressurized water reactors. 1477-1483 - Naoki Mori, Masayuki Takeda, Keinosuke Matsumoto:
A comparison study between genetic algorithms and bayesian optimize algorithms by novel indices. 1485-1492 - William Rand, Rick L. Riolo:
The problem with a self-adaptative mutation rate in some environments: a case study using the shaky ladder hyperplane-defined functions. 1493-1500 - Zhao-hua Yang, Jian-cheng Fang, Zhen-qiang Qi:
Flight midcourse guidance control based on genetic algorithm. 1501-1506 - Jacob G. Martin
Subproblem optimization by gene correlation with singular value decomposition. 1507-1514 - Yossi Borenstein, Riccardo Poli:
Information landscapes. 1515-1522 - Matthew A. Russell, Gary B. Lamont:
A genetic algorithm for unmanned aerial vehicle routing. 1523-1530 - Heni Ben Amor, Achim Rettinger:
Intelligent exploration for genetic algorithms: using self-organizing maps in evolutionary computation. 1531-1538 - Dirk Thierens:
An adaptive pursuit strategy for allocating operator probabilities. 1539-1546
Poster Session: Genetic algorithms
- Michael R. Peterson, Travis E. Doom, Michael L. Raymer:
GA-facilitated classifier optimization with varying similarity measures. 1549-1550 - Michelle Lyman, Gary Lewandowski:
Genetic programming for association rules on card sorting data. 1551-1552 - Anna Paszynska
An extension of vose's markov chain model for genetic algorithms. 1553-1554 - Zhigang Wang, Mustafizur Rahman, Yoke San Wong:
Multi-niche crowding in the development of parallel genetic simulated annealing. 1555-1556 - Lam Thu Bui
Diversity as a selection pressure in dynamic environments. 1557-1558 - José Antonio Martín H.:
Search space modulation in genetic algorithms: evolving the search space by sinusoidal transformations. 1559-1560 - Kei Ohnishi, Kaori Yoshida:
Evolutionary change in developmental timing. 1561-1562 - Dana Vrajitoru, Jason DeBoni:
Hybrid real-coded mutation for genetic algorithms applied to graph layouts. 1563-1564 - David M. Cherba, William F. Punch, Phillip M. Duxbury, Simon J. L. Billinge, Pavol Juhas
Conformation of an ideal bucky ball molecule by genetic algorithm and geometric constraint from pair distance data: genetic algorithm. 1565-1566 - Surapong Auwatanamongkol:
Inexact pattern matching using genetic algorithm. 1567-1568 - Lin Cong, Yuheng Sha, Licheng Jiao, Fang Liu:
Directional self-learning of genetic algorithm. 1569-1570 - Cecília Reis
Fractional dynamic fitness functions for GA-based circuit design. 1571-1572 - Shin Ando
Fitness-based neighbor selection for multimodal function optimization. 1573-1574 - Johan Berntsson, Maolin Tang
Adaptive sizing of populations and number of islands in distributed genetic algorithms. 1575-1576 - Jun Zhang
Adaptive crossover and mutation in genetic algorithms based on clustering technique. 1577-1578 - Johan Berntsson, Maolin Tang
Dynamic optimization of migration topology in internet-based distributed genetic algorithms. 1579-1580 - Jung Hwan Kim, Sung-Soon Choi, Byung Ro Moon:
Normalization for neural network in genetic search. 1581-1582 - Chang Wook Ahn
On the practical genetic algorithms. 1583-1584 - Sadiq M. Sait, Mohammed Faheemuddin, Mahmood R. Minhas, Syed Sanaullah:
Multiobjective VLSI cell placement using distributed genetic algorithm. 1585-1586 - Edgardo Ferretti, Susana C. Esquivel:
Knowledge insertion: an efficient approach to reduce effort in simple genetic algorithms for unrestricted parallel equal machines scheduling. 1587-1588 - Artem Sokolov, L. Darrell Whitley, Monte Lunacek:
Alternative implementations of the Griewangk function. 1589-1590 - Pedro A. Diaz-Gomez, Dean F. Hougen
Analysis and mathematical justification of a fitness function used in an intrusion detection system. 1591-1592 - Pio Fenton, Paul Walsh:
A comparison of messy GA and permutation based GA for job shop scheduling. 1593-1594 - Michael Affenzeller, Stefan Wagner
Goal-oriented preservation of essential genetic information by offspring selection. 1595-1596 - Agustín León-Barranco, Sandra E. Barajas
ARGEN + AREPO: mixing the artificial genetic engineering and artificial evolution of populations to improve the search process. 1597-1598 - Frank W. Moore:
A genetic algorithm for optimized reconstruction of quantized one-dimensional signals. 1599-1600 - Stephen Chen
Isolating the benefits of respect. 1601-1602
Genetic programming
- Jason Stevens, Robert B. Heckendorn, Terence Soule:
Exploiting disruption aversion to control code bloat. 1605-1612 - M. Collins:
Finding needles in haystacks is harder with neutrality. 1613-1618 - Jianjun Hu, Xiwei Zhong, Erik D. Goodman
Open-ended robust design of analog filters using genetic programming. 1619-1626 - Jason M. Daida:
Towards identifying populations that increase the likelihood of success in genetic programming. 1627-1634 - Christian Lasarczyk, Wolfgang Banzhaf
Total synthesis of algorithmic chemistries. 1635-1640 - Emily M. Zechman, S. Ranji Ranjithan:
Multipopulation cooperative coevolutionary programming (MCCP) to enhance design innovation. 1641-1648 - James Alfred Walker, Julian Francis Miller:
Investigating the performance of module acquisition in cartesian genetic programming. 1649-1656 - Paul Massey, John A. Clark, Susan Stepney:
Evolution of a human-competitive quantum fourier transform algorithm using genetic programming. 1657-1663 - Ian Dempsey, Michael O'Neill
Meta-grammar constant creation with grammatical evolution by grammatical evolution. 1665-1671 - Sara Silva
Resource-limited genetic programming: the dynamic approach. 1673-1680 - David Jackson:
Parsing and translation of expressions by genetic programming. 1681-1688 - Lee Spector, Jon Klein, Maarten Keijzer:
The Push3 execution stack and the evolution of control. 1689-1696 - Cezary Z. Janikow, Christopher J. Mann:
CGP visits the Santa Fe trail: effects of heuristics on GP. 1697-1704 - Tadahiko Murata, Takashi Nakamura:
Genetic network programming with automatically defined groups for assigning proper roles to multiple agents. 1705-1712 - Jason M. Daida, Michael E. Samples, Matthew J. Byom:
Probing for limits to building block mixing with a tunably-difficult problem for genetic programming. 1713-1720 - Marc D. Richards, L. Darrell Whitley, J. Ross Beveridge, Todd Mytkowicz, Duong Nguyen, David Rome:
Evolving cooperative strategies for UAV teams. 1721-1728 - Gregory Hornby:
Measuring, enabling and comparing modularity, regularity and hierarchy in evolutionary design. 1729-1736 - James F. Smith III:
Evolving fuzzy decision tree structure that adapts in real-time. 1737-1744 - David Jackson:
Dormant program nodes and the efficiency of genetic programming. 1745-1751 - Rachel Cavill, Stephen L. Smith, Andrew M. Tyrrell:
Multi-chromosomal genetic programming. 1753-1759 - Byoung-Tak Zhang, Ha-Young Jang:
Molecular programming: evolving genetic programs in a test tube. 1761-1768
Poster Session: Genetic programming
- Sireesha Besetti, Terence Soule:
Function choice, resiliency and growth in genetic programming. 1771-1772 - Hammad Majeed, Conor Ryan
Evaluating GP schema in context. 1773-1774 - Kohsuke Yanai, Hitoshi Iba:
Probabilistic distribution models for EDA-based GP. 1775-1776 - Riccardo Poli
Backward-chaining genetic programming. 1777-1778 - Nate Foreman, Matthew P. Evett:
Preventing overfitting in GP with canary functions. 1779-1780 - Nelishia Pillay:
An investigation into using genetic programming as a means of inducing solutions to novice procedural programming problems. 1781-1782 - Sylvain Gelly, Olivier Teytaud, Nicolas Bredèche, Marc Schoenauer
A statistical learning theory approach of bloat. 1783-1784 - Radovan Ondas, Martin Pelikan
Scalability of genetic programming and probabilistic incremental program evolution. 1785-1786 - Xiao Luo, Malcolm I. Heywood
Evolving recurrent models using linear GP. 1787-1788 - Ján Antolík
Evolutionary tree genetic programming. 1789-1790 - Michael E. Samples, Jason M. Daida, Matthew J. Byom, Matt Pizzimenti:
Parameter sweeps for exploring GP parameters. 1791-1792
Learning classifier systems and other genetics-based machine learning
- Daan Wierstra, Faustino J. Gomez, Jürgen Schmidhuber:
Modeling systems with internal state using evolino. 1795-1802 - B. Ravichandran, Avinash Gandhe, Robert E. Smith:
XCS for robust automatic target recognition. 1803-1810 - Leila Shila Shafti
Constructive induction and genetic algorithms for learning concepts with complex interaction. 1811-1818 - Drew Mellor:
A first order logic classifier system. 1819-1826 - Pier Luca Lanzi, Daniele Loiacono
Extending XCSF beyond linear approximation. 1827-1834 - Martin V. Butz:
Kernel-based, ellipsoidal conditions in the real-valued XCS classifier system. 1835-1842 - Jaume Bacardit
Analysis of the initialization stage of a Pittsburgh approach learning classifier system. 1843-1850 - Jan Drugowitsch, Alwyn Barry:
XCS with eligibility traces. 1851-1858 - Pier Luca Lanzi, Daniele Loiacono
XCS with computed prediction in multistep environments. 1859-1866 - Samuel Landau, Olivier Sigaud, Marc Schoenauer
ATNoSFERES revisited. 1867-1874 - William N. L. Browne
An abstraction agorithm for genetics-based reinforcement learning. 1875-1882 - Hai Huong Dam, Hussein A. Abbass
DXCS: an XCS system for distributed data mining. 1883-1890
Poster Session: Learning classifier systems and other genetics-based machine learning
- Xavier Llorà, Kumara Sastry, David E. Goldberg:
The compact classifier system: motivation, analysis, and first results. 1993-1994
Real world applications
- M. Ihsan Ecemis, Eric Bonabeau, Trent Ashburn:
Interactive estimation of agent-based financial markets models: modularity and learning. 1897-1904 - Julien Budynek, Eric Bonabeau, Ben Shargel:
Evolving computer intrusion scripts for vulnerability assessment and log analysis. 1905-1912 - Yiu-Fai Sit, Risto Miikkulainen:
Learning basic navigation for personal satellite assistant using neuroevolution. 1913-1920 - Deon Garrett, Joseph Vannucci, Rodrigo Silva-Lugo
Genetic algorithms for the sailor assignment problem. 1921-1928 - Jeffrey P. Ridder, Jason C. HandUber:
Mission planning for joint suppression of enemy air defenses using a genetic algorithm. 1929-1936 - Lucas Bradstreet, Luigi Barone, Lyndon While:
Map-labelling with a multi-objective evolutionary algorithm. 1937-1944 - Thomas Schlichter, Christian Haubelt
Improving EA-based design space exploration by utilizing symbolic feasibility tests. 1945-1952 - John R. Koza, Sameer H. Al-Sakran, Lee W. Jones:
Automated re-invention of six patented optical lens systems using genetic programming. 1953-1960 - Uli Grasemann, Risto Miikkulainen:
Effective image compression using evolved wavelets. 1961-1968 - Eric-Wubbo Lameijer, Adriaan P. IJzerman, Joost N. Kok:
The molecule evoluator: an interactive evolutionary algorithm for designing drug molecules. 1969-1976 - Kenneth O. Stanley, Nate Kohl, Rini Sherony, Risto Miikkulainen:
Neuroevolution of an automobile crash warning system. 1977-1984 - Ingo Mierswa:
Incorporating fuzzy knowledge into fitness: multiobjective evolutionary 3D design of process plants. 1985-1992 - David J. Montana, Jason Redi:
Optimizing parameters of a mobile ad hoc network protocol with a genetic algorithm. 1993-1998 - Maarten Keijzer, Martin Baptist
Determining equations for vegetation induced resistance using genetic programming. 1999-2006 - Rafal Kicinger, Tomasz Arciszewski, Kenneth A. De Jong:
Parameterized versus generative representations in structural design: an empirical comparison. 2007-2014 - Daniel Stevens, Sanjoy Das
A multi-objective algorithm for DS-CDMA code design based on the clonal selection principle. 2015-2020 - Franz Rothlauf
Classification of human decision behavior: finding modular decision rules with genetic algorithms. 2021-2028 - Greg Lee, Vadim Bulitko:
GAMM: genetic algorithms with meta-models for vision. 2029-2036 - Yoon-Seok Choi, Byung Ro Moon, Sang Yong Seo:
Genetic fuzzy discretization with adaptive intervals for classification problems. 2037-2043 - Ju Han, Bir Bhanu
Hierarchical multi-sensor image registration using evolutionary computation. 2045-2052 - Bogdan Tomoyuki Nassu, Elias Procópio Duarte Jr., Aurora Trinidad Ramirez Pozo
A comparison of evolutionary algorithms for system-level diagnosis. 2053-2060 - Yung-Keun Kwon, Sung-Soon Choi, Byung Ro Moon:
Stock prediction based on financial correlation. 2061-2066 - Garnett Carl Wilson, Malcolm I. Heywood
Use of a genetic algorithm in brill's transformation-based part-of-speech tagger. 2067-2073 - Jonathan Wight, Yi Zhang:
An "ageing" operator and its use in the highly constrained topological optimization of HVAC system design. 2075-2082 - Barry Ahrens:
Genetic algorithm optimization of superresolution parameters. 2083-2088 - Yung-Keun Kwon, Byung Ro Moon:
Nonlinear feature extraction using a neuro genetic hybrid. 2089-2096 - Ashish Sureka, Peter R. Wurman
Applying metaheuristic techniques to search the space of bidding strategies in combinatorial auctions. 2097-2103 - Maoguo Gong
An artificial immune system algorithm for CDMA multiuser detection over multi-path channels. 2105-2111 - Emma Carter, Steve Ebdon, Clive Neal-Sturgess:
Optimization of passenger car design for the mitigation of pedestrian head injury using a genetic algorithm. 2113-2120 - Samer L. Hijazi, Balasubramaniam Natarajan
An ant colony algorithm for multi-user detection in wireless communication systems. 2121-2126 - Grant Cochenour, Jerad Simon, Sanjoy Das
A pareto archive evolutionary strategy based radial basis function neural network training algorithm for failure rate prediction in overhead feeders. 2127-2132 - Jeremiah Nummela, Bryant A. Julstrom:
Evolving petri nets to represent metabolic pathways. 2133-2139 - Bo Yuan
MRI magnet design: search space analysis, EDAs and a real-world problem with significant dependencies. 2141-2148 - Sam Talaie, Ryan E. Leigh, Sushil J. Louis, Gary L. Raines:
Predicting mining activity with parallel genetic algorithms. 2149-2155 - Swagatam Das, Amit Konar, Uday Kumar Chakraborty:
An efficient evolutionary algorithm applied to the design of two-dimensional IIR filters. 2157-2163 - Andrea Soltoggio
An enhanced GA to improve the search process reliability in tuning of control systems. 2165-2172 - Martina Hasenjäger
Three dimensional evolutionary aerodynamic design optimization with CMA-ES. 2173-2180 - Q. Tuan Pham:
Evolutionary optimization of dynamic control problems accelerated by progressive step reduction. 2181-2187
Poster Session: Real world applications
- Fatih Alim, Kostadin Ivanov:
Heuristic rules embedded genetic algorithm to solve in-core fuel management optimization problem. 2191-2192 - Ernesto Sánchez, Massimiliano Schillaci, Matteo Sonza Reorda
New evolutionary techniques for test-program generation for complex microprocessor cores. 2193-2194 - Tomoyuki Hiroyasu, Mitsunori Miki, Seiichi Nakayama, Yoshiko Hanada:
Multi-objective optimization of diesel engine emissions and fuel economy using SPEA2+. 2195-2196 - Keshav P. Dahal, Stuart J. Galloway, Graeme M. Burt
A case study of process facility optimization using discrete event simulation and genetic algorithm. 2197-2198 - Sean R. Szumlanski, Annie S. Wu, Charles E. Hughes
Collaborative interactive evolution. 2199-2200 - Yuji Sato
Event-driven learning classifier systems for online soccer games. 2201-2202 - Paul Whiting, Pui Wah Poon, Jonathan N. Carter:
A genetic algorithm approach to the selection of near-optimal subsets from large sets. 2203-2204 - Ming-Hui Jin, Cheng-Yan Kao, Yu-Cheng Huang, D. Frank Hsu, Ren-Guey Lee, Chih-Kung Lee:
Compact genetic algorithm for active interval scheduling in hierarchical sensor networks. 2205-2206 - Flor A. Castillo, Carlos M. Villa:
Symbolic regression in multicollinearity problems. 2207-2208 - Mohammad I. Daoud
GATS 1.0: a novel GA-based scheduling algorithm for task scheduling on heterogeneous processor nets. 2209-2210 - Timothy Meekhof, Robert B. Heckendorn:
Using evolutionary optimization to improve Markov-based classification with limited training data. 2211-2212 - Richard O. Day, Abel S. Nunez, Gary B. Lamont:
MOEA design of robust digital symbol sets. 2213-2214 - Kisung Seo, Erik D. Goodman
Design of air pump system using bond graph and genetic programming method. 2215-2216 - Chihoon Lim, Eoksu Sim:
Production planning in manufacturing/remanufacturing environment using genetic algorithm. 2217-2218 - Diego Sal Díaz, Manuel Graña Romay:
Introducing a watermarking with a multi-objective genetic algorithm. 2219-2220 - Tiago A. E. Ferreira
A new evolutionary method for time series forecasting. 2221-2222
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