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GECCO 2006: Seattle, Washington, USA
- Mike Cattolico:
Genetic and Evolutionary Computation Conference, GECCO 2006, Proceedings, Seattle, Washington, USA, July 8-12, 2006. ACM 2006, ISBN 1-59593-186-4
Ant colony optimization and swarm intelligence: papers
- Stefan Bird, Xiaodong Li:
Adaptively choosing niching parameters in a PSO. 3-10 - Thang Nguyen Bui, Catherine M. Zrncic:
An ant-based algorithm for finding degree-constrained minimum spanning tree. 11-18 - Thang Nguyen Bui, ThanhVu H. Nguyen:
An agent-based algorithm for generalized graph colorings. 19-26 - Allen Chan, Alex Alves Freitas:
A new ant colony algorithm for multi-label classification with applications in bioinfomatics. 27-34 - Elon Santos Correa, Alex Alves Freitas, Colin G. Johnson
:
A new discrete particle swarm algorithm applied to attribute selection in a bioinformatics data set. 35-42 - James Smaldon, Alex Alves Freitas:
A new version of the ant-miner algorithm discovering unordered rule sets. 43-50 - Xiaodong Li, Jürgen Branke, Tim Blackwell:
Particle swarm with speciation and adaptation in a dynamic environment. 51-58 - Christopher K. Monson, Kevin D. Seppi:
Adaptive diversity in PSO. 59-66 - Srinivas Pasupuleti, Roberto Battiti
The gregarious particle swarm optimizer (G-PSO). 67-74 - Andrew M. Sutton, L. Darrell Whitley, Monte Lunacek, Adele E. Howe:
PSO and multi-funnel landscapes: how cooperation might limit exploration. 75-82
Ant colony optimization and swarm intelligence: posters
- Ming-chung Jian, Ying-Ping Chen:
Introducing recombination with dynamic linkage discovery to particle swarm optimization. 85-86 - Matteo Matteucci, Lorenzo Mussone:
Ant colony optimization technique for equilibrium assignment in congested transportation networks. 87-88 - Margarita Reyes Sierra, Carlos A. Coello Coello:
Dynamic fitness inheritance proportion for multi-objective particle swarm optimization. 89-90 - William A. Tozier, Michael R. Chesher, Tejinderpal S. Devgan:
The Brueckner network: an immobile sorting swarm. 91-92
Artificial immune systems: papers
- Werner Dilger, Steve Strangfeld:
Properties of the bersini experiment on self-assertion. 95-102 - Kenneth S. Edge, Gary B. Lamont, Richard A. Raines:
A retrovirus inspired algorithm for virus detection & optimization. 103-110 - Zhou Ji, Dipankar Dasgupta:
Applicability issues of the real-valued negative selection algorithms. 111-118 - Marek Ostaszewski, Franciszek Seredynski, Pascal Bouvry
Immune anomaly detection enhanced with evolutionary paradigms. 119-126
Artificial immune systems: posters
- Andreas Pietzowski, Wolfgang Trumler, Theo Ungerer:
An artificial immune system and its integration into an organic middleware for self-protection. 129-130 - Stefan Schadwinkel, Werner Dilger:
A dynamic approach to artificial immune systems utilizing neural networks. 131-132
Artificial life, evolutionary robotics, adaptive behavior: papers
- Gregory J. Barlow, Choong K. Oh:
Robustness analysis of genetic programming controllers for unmanned aerial vehicles. 135-142 - Josh Jones, Terry Soule:
Comparing genetic robustness in generational vs. steady state evolutionary algorithms. 143-150 - DaeEun Kim:
Memory analysis and significance test for agent behaviours. 151-158 - Michael Kirley:
Dominance hierarchies and social diversity in multi-agent systems. 159-166 - Heejin Lim, Yoonsuck Choe:
Facilitating neural dynamics for delay compensation and prediction in evolutionary neural networks. 167-174 - J. J. McDowell, Paul L. Soto, Jesse Dallery
A computational theory of adaptive behavior based on an evolutionary reinforcement mechanism. 175-182 - Volker Nannen
A method for parameter calibration and relevance estimation in evolutionary algorithms. 183-190 - Gustavo Olague, Cesar Puente
Parisian evolution with honeybees for three-dimensional reconstruction. 191-198 - Stephan Otto, Stefan Kirn:
Adaption in distributed systems: an evolutionary approach. 199-206 - Joshua L. Payne, Margaret J. Eppstein:
Emergent mating topologies in spatially structured genetic algorithms. 207-214 - Ehud Schlessinger, Peter J. Bentley, R. Beau Lotto:
Modular thinking: evolving modular neural networks for visual guidance of agents. 215-222 - Xue Zhong, Terence Soule:
Growth of self-canceling code in evolutionary systems. 223-228
Genetic algorithms: posters
- Jason Amunrud, Bryant A. Julstrom:
Instance similarity and the effectiveness of case injection in a genetic algorithm for binary quadratic programming. 1395-1396 - Demet Ayvaz, Haluk Topcuoglu
A comparative study of evolutionary optimization techniques in dynamic environments. 1397-1398 - Yossi Borenstein, Riccardo Poli:
The no free lunch and realistic search algorithms. 1399-1400 - Yossi Borenstein, Riccardo Poli:
Classes of problems in the black box scenario. 1401-1402 - Marco Carpentieri, Vito Fedullo:
A genetic model based on simulated crossover of quaternary genes for quadratic fitness. 1403-1404 - Rachel Cavill, Stephen L. Smith, Andy M. Tyrrell:
Variable length genetic algorithms with multiple chromosomes on a variant of the Onemax problem. 1405-1406 - Justin Collins, David Joslin:
Improving genetic algorithm performance with intelligent mappings from chromosomes to solutions. 1407-1408 - Pedro A. Diaz-Gomez, Dean F. Hougen
The snake in the box problem: mathematical conjecture and a genetic algorithm approach. 1409-1410 - Mitsuo Gen, Lin Lin:
A new approach for shortest path routing problem by random key-based GA. 1411-1412 - Xiaojun Geng:
Solving identification problem for asynchronous finite state machines using genetic algorithms. 1413-1414 - Ping-Chu Hung, Ying-Ping Chen:
iECGA: integer extended compact genetic algorithm. 1415-1416 - Xavier Llorà, Kumara Sastry, Francesc Alías, David E. Goldberg, Michael Welge:
Analyzing active interactive genetic algorithms using visual analytics. 1417-1418 - Mitsukuni Matayoshi, Morikazu Nakamura, Hayao Miyagi:
Extraction of landscape information based on a quality control approach and its applications to mutation in GAExtraction of landscape information based on a quality control approach and its applications to mutation in GA. 1419-1420 - Alberto Moraglio
Generalized cycle crossover for graph partitioning. 1421-1422 - M. Kivanc Oner, Ivan I. Garibay, Annie S. Wu:
Mating networks in steady state genetic algorithms are scale free. 1423-1424 - Qinru Qiu, Qing Wu, Daniel J. Burns, Douglas Holzhauer:
Distributed genetic algorithm for energy-efficient resource management in sensor networks. 1425-1426 - Luke Sheneman, James A. Foster:
Estimating the destructiveness of crossover on binary tree representations. 1427-1428 - Paul Snijders, Edwin D. de Jong, Bart de Boer, Franjo Weissing:
Multi-objective diversity maintenance. 1429-1430 - Otávio Noura Teixeira
Game theory as a new paradigm for phenotype characterization of genetic algorithms. 1431-1432 - Hoa Vo, Justin Terada, David Joslin, Jeff Dragovich:
Leveraging domain-expert knowledge in a genetic algorithm for civil engineering design optimization. 1433-1434 - Shengxiang Yang:
Dominance learning in diploid genetic algorithms for dynamic optimization problems. 1435-1436 - Sanyou Zeng, Rui Wang
Both robust computation and mutation operation in dynamic evolutionary algorithm are based on orthogonal design. 1437-1438
Artificial life, evolutionary robotics, adaptive behavior: posters
- Arturo Chavoya, Yves Duthen:
Using a genetic algorithm to evolve cellular automata for 2D/3D computational development. 231-232 - David J. Montana, Eric Van Wyk, Marshall Brinn, Joshua Montana, Stephen Milligan:
Genomic computing networks learn complex POMDPs. 233-234 - Hai Liang Peng, Joc Cing Tay:
The Baldwin effect under spatial isolation and autonomous reproduction. 235-236
Biological applications: papers
- Arpit A. Almal, Anirban P. Mitra, Ram H. Datar, Peter F. Lenehan, David W. Fry, Richard J. Cote, William P. Worzel:
Using genetic programming to classify node positive patients in bladder cancer. 239-246 - Jaume Bacardit, Michael Stout, Natalio Krasnogor, Jonathan D. Hirst, Jacek Blazewicz
Coordination number prediction using learning classifier systems: performance and interpretability. 247-254 - Francesco Archetti, Stefano Lanzeni, Enza Messina, Leonardo Vanneschi
Genetic programming for human oral bioavailability of drugs. 255-262 - Nasimul Noman
Inference of genetic networks using S-system: information criteria for model selection. 263-270 - Topon Kumar Paul, Hitoshi Iba:
Identification of weak motifs in multiple biological sequences using genetic algorithm. 271-278 - Christian Spieth, Nadine Hassis, Felix Streichert:
Comparing mathematical models on the problem of network inference. 279-286 - Tiffani L. Williams, Marc L. Smith:
The role of diverse populations in phylogenetic analysis. 287-294
Biological applications: posters
- Ignasi Belda, Ivan Traus, Susana Gordo, Teresa Tarragó, Sergio Madurga, Xavier Llorà, Ernest Giralt:
Peptide data mining: from virtual design to knowledge extraction. 297-298 - Clayton Matthew Johnson, Anitha Katikireddy:
A genetic algorithm with backtracking for protein structure prediction. 299-300 - Timothy Meekhof, Gary W. Daughdrill, Robert B. Heckendorn:
String transformation-based Bayesian classification or proteins. 301-302 - Seung-Hyun Moon, Sung-Soon Choi, Byung Ro Moon:
A hybrid genetic search for multiple sequence alignment. 303-304 - Christian Spieth, Rene Worzischek, Felix Streichert:
Comparing evolutionary algorithms on the problem of network inference. 305-306 - Philip Tan, Joc Cing Tay:
Evolving boolean networks to find intervention points in dengue pathogenesis. 307-308 - Frederik P. J. Vandecasteele, Thomas F. Hess, Ronald L. Crawford:
Genetic algorithms are suitable for driving microbial ecosystems in desirable directions. 309-310
Coevolution: papers
- Edwin D. de Jong, Anthony Bucci:
DECA: dimension extracting coevolutionary algorithm. 313-320 - Sevan G. Ficici:
A game-theoretic investigation of selection methods in two-population coevolution. 321-328 - German A. Monroy, Kenneth O. Stanley, Risto Miikkulainen:
Coevolution of neural networks using a layered pareto archive. 329-336 - Frans A. Oliehoek, Edwin D. de Jong, Nikos Vlassis:
The parallel Nash Memory for asymmetric games. 337-344 - Liviu Panait, Sean Luke, Joseph F. Harrison:
Archive-based cooperative coevolutionary algorithms. 345-352 - Elena Popovici, Kenneth A. De Jong:
The effects of interaction frequency on the optimization performance of cooperative coevolution. 353-360 - Leonardo Vanneschi, Giancarlo Mauri, Andrea Valsecchi, Stefano Cagnoni:
Heterogeneous cooperative coevolution: strategies of integration between GP and GA. 361-368 - R. Paul Wiegand, Mitchell A. Potter:
Robustness in cooperative coevolution. 369-376
Coevolution: posters
- Bastian Baranski, Thomas Bartz-Beielstein
High-order punishment and the evolution of cooperation. 379-380 - Walter de Back
Red Queen dynamics in a predator-prey ecosystem. 381-382 - Nanlin Jin
Indirect co-evolution for understanding belief in an incomplete information dynamic game. 383-384 - Michael D. Schmidt, Hod Lipson
Actively probing and modeling users in interactive coevolution. 385-386
Estimation of distribution algorithms: papers
- Yunpeng Cai, Xiaomin Sun, Peifa Jia:
Probabilistic modeling for continuous EDA with Boltzmann selection and Kullback-Leibeler divergence. 389-396 - Jörn Grahl, Peter A. N. Bosman, Franz Rothlauf:
The correlation-triggered adaptive variance scaling IDEA. 397-404 - Martin Pelikan
Sporadic model building for efficiency enhancement of hierarchical BOA. 405-412 - Andrei Petrovski
Optimising cancer chemotherapy using an estimation of distribution algorithm and genetic algorithms. 413-418 - Kumara Sastry, Cláudio F. Lima, David E. Goldberg:
Evaluation relaxation using substructural information and linear estimation. 419-426
Estimation of distribution algorithms: posters
- Moshe Looks:
Levels of abstraction in modeling and sampling: the feature-based Bayesian optimization algorithm. 429-430 - Martin Pelikan
Hierarchical BOA on random decomposable problems. 431-432 - Hao Wu, Jonathan L. Shapiro:
Does overfitting affect performance in estimation of distribution algorithms. 433-434
Evolution strategies, evolutionary programming: papers
- Dirk V. Arnold
Hierarchically organised evolution strategies on the parabolic ridge. 437-444 - Anne Auger, Nikolaus Hansen:
Reconsidering the progress rate theory for evolution strategies in finite dimensions. 445-452 - Christian Igel, Thorsten Suttorp, Nikolaus Hansen:
A computational efficient covariance matrix update and a (1+1)-CMA for evolution strategies. 453-460 - Jens Jägersküpper:
Probabilistic runtime analysis of (1 +<over>, lambda), ES using isotropic mutations. 461-468 - Thomas Jansen, Ingo Wegener:
On the local performance of simulated annealing and the (1+1) evolutionary algorithm. 469-476 - Monte Lunacek, L. Darrell Whitley:
The dispersion metric and the CMA evolution strategy. 477-484 - Efrén Mezura-Montes
A comparative study of differential evolution variants for global optimization. 485-492 - Dirk Sudholt:
On the analysis of the (1+1) memetic algorithm. 493-500
Evolution strategies, evolutionary programming: poster
- Andrea Soltoggio
A simple line search operator for ridged landscapes. 503-504
Evolutionary combinatorial optimization: papers
- William Beaudoin, Sébastien Vérel, Philippe Collard, Cathy Escazut:
Deceptiveness and neutrality the ND family of fitness landscapes. 507-514 - Christian Blum:
A new hybrid evolutionary algorithm for the huge k-cardinality tree problem. 515-522 - Yoginder S. Dandass, Amit C. Bugde:
Comparison of genetic representation schemes for scheduling soft real-time parallel applications. 523-530 - Manuel Cebrián
GRASP - evolution for constraint satisfaction problems. 531-538 - Oliver Giel, Ingo Wegener:
Maximum cardinality matchings on trees by randomized local search. 539-546 - Amanda Hiley, Bryant A. Julstrom:
The quadratic multiple knapsack problem and three heuristic approaches to it. 547-552 - Jeremiah Nummela, Bryant A. Julstrom:
An effective genetic algorithm for the minimum-label spanning tree problem. 553-558 - David Simoncini, Sébastien Vérel, Philippe Collard, Manuel Clergue:
Anisotropic selection in cellular genetic algorithms. 559-566 - Tobias Storch
How randomized search heuristics find maximum cliques in planar graphs. 567-574 - Jing Tang, Meng-Hiot Lim, Yew-Soon Ong:
Adaptation for parallel memetic algorithm based on population entropy. 575-582 - Syhlin Kuah, Joc Cing Tay:
Combining simplex with niche-based evolutionary computation for job-shop scheduling. 583-590 - Hugo Terashima-Marín
A GA-based method to produce generalized hyper-heuristics for the 2D-regular cutting stock problem. 591-598 - Yiliang Xu, Meng-Hiot Lim, Yew-Soon Ong, Jing Tang:
A GA-ACO-local search hybrid algorithm for solving quadratic assignment problem. 599-606
Evolutionary combinatorial optimization: posters
- Brenda Hinkemeyer, Bryant A. Julstrom:
A genetic algorithm for the longest common subsequence problem. 609-610 - Steven Manos, Geraint Lewis:
A combinatorial genetic algorithm for the configuration of the 2dF/AAOmega spectrograph at the anglo-Australian observatory. 611-612 - Sébastien Vérel, Philippe Collard, Manuel Clergue:
Measuring the evolvability landscape to study neutrality. 613-614 - Mohammed Saeed Zahrani, Martin J. Loomes, James A. Malcolm, Andreas Alexander Albrecht:
Genetic local search for multicast routing. 615-616
Evolutionary multiobjective optimization: papers
- Adam Berry
An efficient approach to unbounded bi-objective archives -: introducing the mak_tree algorithm. 619-626 - Peter A. N. Bosman, Edwin D. de Jong:
Combining gradient techniques for numerical multi-objective evolutionary optimization. 627-634 - Kalyanmoy Deb, J. Sundar:
Reference point based multi-objective optimization using evolutionary algorithms. 635-642 - Kalyanmoy Deb, Shamik Chaudhuri, Kaisa Miettinen:
Towards estimating nadir objective vector using evolutionary approaches. 643-650 - Oliver Giel, Per Kristian Lehre
On the effect of populations in evolutionary multi-objective optimization. 651-658 - Ken Harada, Jun Sakuma, Shigenobu Kobayashi:
Local search for multiobjective function optimization: pareto descent method. 659-666 - Ken Harada, Kokolo Ikeda, Shigenobu Kobayashi:
Hybridization of genetic algorithm and local search in multiobjective function optimization: recommendation of GA then LS. 667-674 - Alfredo García Hernández-Díaz, Luis V. Santana-Quintero, Carlos A. Coello Coello, Rafael Caballero, Julián Molina Luque
A new proposal for multi-objective optimization using differential evolution and rough sets theory. 675-682 - Antony W. Iorio, Xiaodong Li:
Rotated test problems for assessing the performance of multi-objective optimization algorithms. 683-690 - Antony W. Iorio, Xiaodong Li:
Incorporating directional information within a differential evolution algorithm for multi-objective optimization. 691-698 - Michael Lawrence:
Multiobjective genetic algorithms for materialized view selection in OLAP data warehouses. 699-706 - Christian Grimme, Karlheinz Schmitt:
Inside a predator-prey model for multi-objective optimization: a second study. 707-714 - Dipti Srinivasan, Lily Rachmawati:
An efficient multi-objective evolutionary algorithm with steady-state replacement model. 715-722 - Julio J. Valdés, Alan J. Barton:
Multiobjective evolutionary optimization for visual data mining with virtual reality spaces: application to Alzheimer gene expressions. 723-730 - Ying Zhang, Raffi R. Kamalian, Alice M. Agogino, Carlo H. Séquin:
Design synthesis of microelectromechanical systems using genetic algorithms with component-based genotype representation. 731-738
Evolutionary multiobjective optimization: posters
- Hisao Ishibuchi, Yusuke Nojima
Incorporation of decision maker's preference into evolutionary multiobjective optimization algorithms. 741-742 - Mark P. Kleeman, Gary B. Lamont:
The multi-objective constrained assignment problem. 743-744 - Kangshun Li, Xuezhi Yue, Lishan Kang, Zhangxin Chen:
A new multi-objective evolutionary algorithm for solving high complex multi-objective problems. 745-746 - Ingo Oesterreicher, Andreas Mitschele, Frank Schlottmann, Detlef Seese:
Comparison of multi-objective evolutionary algorithms in optimizing combinations of reinsurance contracts. 747-748 - Lily Rachmawati, Dipti Srinivasan:
A multi-objective evolutionary algorithm with weighted-sum niching for convergence on knee regions. 749-750
Evolvable hardware: papers
- Varun Aggarwal, Wesley O. Jin, Una-May O'Reilly:
Filter approximation using explicit time and frequency domain specifications. 753-760 - Geoffrey A. Hollinger, David A. Gwaltney:
Evolutionary design of fault-tolerant analog control for a piezoelectric pipe-crawling robot. 761-768 - Pierre-André Mudry
A dynamically constrained genetic algorithm for hardware-software partitioning. 769-776
Evolvable hardware: poster
- Sami J. Habib, Alice C. Parker:
Exploring network topology evolution through evolutionary computations. 779-780
Genetic programming: papers
- Clément Chion, Luis E. Da Costa, Jacques-André Landry:
Genetic programming for agricultural purposes. 783-790 - Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano:
Improving cooperative GP ensemble with clustering and pruning for pattern classification. 791-798 - Jason M. Daida:
Characterizing the dynamics of symmetry breaking in genetic programming. 799-806 - Tuan Hao Hoang, Nguyen Xuan Hoai, Nguyen Thi Hien
ORDERTREE: a new test problem for genetic programming. 807-814 - Gregory Hornby:
ALPS: the age-layered population structure for reducing the problem of premature convergence. 815-822 - Lee W. Jones, Sameer H. Al-Sakran, John R. Koza:
Automated synthesis of a human-competitive solution to the challenge problem of the 2002 international optical design conference by means of genetic programming and a multi-dimensional mutation operation. 823-830 - Nicolas Lassabe, Stéphane Sanchez, Hervé Luga, Yves Duthen:
Genetically programmed strategies for chess endgame. 831-838 - Wai Shing Lau, Kin-Hong Lee, Kwong-Sak Leung:
A hybridized genetic parallel programming based logic circuit synthesizer. 839-846 - Hammad Majeed, Conor Ryan
Using context-aware crossover to improve the performance of GP. 847-854 - Trent McConaghy, Georges G. E. Gielen:
Canonical form functions as a simple means for genetic programming to evolve human-interpretable functions. 855-862 - Andrew R. McIntyre, Malcolm I. Heywood:
MOGE: GP classification problem decomposition using multi-objective optimization. 863-870 - Alan Piszcz, Terence Soule:
Dynamics of evolutionary robustness. 871-878 - Lothar M. Schmitt, Stefan Droste:
Convergence to global optima for genetic programming systems with dynamically scaled operators. 879-886 - Leonardo Trujillo, Gustavo Olague:
Synthesis of interest point detectors through genetic programming. 887-894 - Leonardo Vanneschi, Yuri Pirola, Philippe Collard:
A quantitative study of neutrality in GP boolean landscapes. 895-902 - James Alfred Walker, Julian Francis Miller, Rachel Cavill:
A multi-chromosome approach to standard and embedded cartesian genetic programming. 903-910 - James Alfred Walker, Julian Francis Miller:
Embedded cartesian genetic programming and the lawnmower and hierarchical-if-and-only-if problems. 911-918 - L. Darrell Whitley, Marc D. Richards, J. Ross Beveridge, André da Motta Salles Barreto:
Alternative evolutionary algorithms for evolving programs: evolution strategies and steady state GP. 919-926 - Phillip Wong, Mengjie Zhang:
Algebraic simplification of GP programs during evolution. 927-934
Genetic programming: posters
- Luis E. Da Costa, Jacques-André Landry:
Relaxed genetic programming. 937-938 - Ashley George, Malcolm I. Heywood
Improving GP classifier generalization using a cluster separation metric. 939-940 - Stefan Kahrs:
Genetic programming with primitive recursion. 941-942 - Yung-Keun Kwon, Sung-Soon Choi, Byung Ro Moon:
Nonlinear parametric regression in genetic programming. 943-944 - Michal Lemczyk, Malcolm I. Heywood
Pareto-coevolutionary genetic programming classifier. 945-946 - Alison A. Motsinger
Alternative cross-over strategies and selection techniques for grammatical evolution optimized neural networks. 947-948 - Zuzana Oplatková
Investigation on artificial ant using analytic programming. 949-950 - Alan Piszcz, Terence Soule:
A survey of mutation techniques in genetic programming. 951-952 - Alan Piszcz, Terence Soule:
Genetic programming: optimal population sizes for varying complexity problems. 953-954 - Roy Schwaerzel, Tom Bylander:
Predicting currency exchange rates by genetic programming with trigonometric functions and high-order statistics. 955-956 - Børge Svingen:
When lisp is faster than C. 957-958 - Russell Thomason, Terence Soule:
Redundant genes and the evolution of robustness. 959-960
Genetic algorithms: papers
- Adrian K. Agogino, Kagan Tumer:
Distributed evaluation functions for fault tolerant multi-rover systems. 1079-1086 - Yossi Borenstein, Riccardo Poli:
Structure and metaheuristics. 1087-1094 - Keki M. Burjorjee, Jordan B. Pollack
A general coarse-graining framework for studying simultaneous inter-population constraints induced by evolutionary operations. 1095-1102 - Chao-Hong Chen
Adaptive discretization for probabilistic model building genetic algorithms. 1103-1110 - David M. Cherba, William F. Punch:
Crossover gene selection by spatial location. 1111-1116 - Sung-Soon Choi, Yung-Keun Kwon, Byung Ro Moon:
Properties of symmetric fitness functions. 1117-1124 - Vincent A. Cicirello
Non-wrapping order crossover: an order preserving crossover operator that respects absolute position. 1125-1132 - David Jonathan Coffin, Christopher D. Clack:
gLINC: identifying composability using group perturbation. 1133-1140 - Kalyanmoy Deb, Ankur Sinha, Saku Kukkonen:
Multi-objective test problems, linkages, and evolutionary methodologies. 1141-1148 - Edgar Galván López
An empirical investigation of how and why neutrality affects evolutionary search. 1149-1156 - Jie Gao, Mitsuo Gen, Linyan Sun:
A hybrid of genetic algorithm and bottleneck shifting for flexible job shop scheduling problemA hybrid of genetic algorithm and bottleneck shifting for flexible job shop scheduling problem. 1157-1164 - Lena Mariann Garder, Mats Erling Høvin:
Robot gaits evolved by combining genetic algorithms and binary hill climbing. 1165-1170 - Payel Ghosh, Melanie Mitchell:
Segmentation of medical images using a genetic algorithm. 1171-1178 - William A. Greene:
A tree-based genetic algorithm for building rectilinear Steiner arborescences. 1179-1186 - Martin Gruber, Jano I. van Hemert
Neighbourhood searches for the bounded diameter minimum spanning tree problem embedded in a VNS, EA, and ACO. 1187-1194 - Hisashi Handa
Fitness function for finding out robust solutions on time-varying functions. 1195-1200 - Iason Hatzakis, David Wallace:
Dynamic multi-objective optimization with evolutionary algorithms: a forward-looking approach. 1201-1208 - Inwook Hwang, Yong-Hyuk Kim, Byung Ro Moon:
Multi-attractor gene reordering for graph bisection. 1209-1216 - Yong-Hyuk Kim, Yourim Yoon, Alberto Moraglio
Geometric crossover for multiway graph partitioning. 1217-1224 - Yong Liang, Kwong-Sak Leung, Kin-Hong Lee:
A splicing/decomposable encoding and its novel operators for genetic algorithms. 1225-1232 - Fernando G. Lobo
On the utility of the multimodal problem generator for assessing the performance of evolutionary algorithms. 1233-1240 - Fernando G. Lobo
Revisiting evolutionary algorithms with on-the-fly population size adjustment. 1241-1248 - Jacob G. Martin:
Spectral techniques for graph bisection in genetic algorithms. 1249-1256 - Alfonsas Misevicius
A fast hybrid genetic algorithm for the quadratic assignment problem. 1257-1264 - Nasimul Noman
A new generation alternation model for differential evolution. 1265-1272 - Christophe Philemotte, Hugues Bersini:
How an optimal observer can collapse the search space. 1273-1280 - Janusz Wojtusiak, Ryszard S. Michalski:
The LEM3 implementation of learnable evolution model and its testing on complex function optimization problems. 1281-1288 - William Rand, Rick L. Riolo, John H. Holland:
The effect of crossover on the behavior of the GA in dynamic environments: a case study using the shaky ladder hyperplane-defined functions. 1289-1296 - Joseph Reisinger, Risto Miikkulainen:
Selecting for evolvable representations. 1297-1304 - Gulshan Singh, Kalyanmoy Deb:
Comparison of multi-modal optimization algorithms based on evolutionary algorithms. 1305-1312 - Jorge Cervantes, Christopher R. Stephens:
"Optimal" mutation rates for genetic search. 1313-1320 - Matthew E. Taylor, Shimon Whiteson, Peter Stone:
Comparing evolutionary and temporal difference methods in a reinforcement learning domain. 1321-1328 - Justin Terada, Hoa Vo, David Joslin:
Combining genetic algorithms with squeaky-wheel optimization. 1329-1336 - Miwako Tsuji
A crossover for complex building blocks overlapping. 1337-1344 - James M. Whitacre, Q. Tuan Pham, Ruhul A. Sarker:
Use of statistical outlier detection method in adaptive evolutionary algorithms. 1345-1352 - James M. Whitacre, Q. Tuan Pham, Ruhul A. Sarker:
Credit assignment in adaptive evolutionary algorithms. 1353-1360 - Paul Winward, David E. Goldberg:
Fluctuating crosstalk, deterministic noise, and GA scalability. 1361-1368 - Alden H. Wright, J. Neal Richter:
Strong recombination, weak selection, and mutation. 1369-1376 - Shengxiang Yang:
A comparative study of immune system based genetic algorithms in dynamic environments. 1377-1384 - Tian-Li Yu, David E. Goldberg:
Conquering hierarchical difficulty by explicit chunking: substructural chromosome compression. 1385-1392
Learning Classifier systems and other genetics-based machine learning: papers
- Jaume Bacardit, Natalio Krasnogor:
Smart crossover operator with multiple parents for a Pittsburgh learning classifier system. 1441-1448 - Martin V. Butz
Studying XCS/BOA learning in Boolean functions: structure encoding and random Boolean functions. 1449-1456 - Martin V. Butz, Pier Luca Lanzi, Stewart W. Wilson:
Hyper-ellipsoidal conditions in XCS: rotation, linear approximation, and solution structure. 1457-1464 - Julia Handl, Joshua D. Knowles:
On semi-supervised clustering via multiobjective optimization. 1465-1472 - Albert Hung-Ren Ko, Robert Sabourin, Alceu de Souza Britto Jr.:
Evolving ensemble of classifiers in random subspace. 1473-1480 - Pier Luca Lanzi, Stewart W. Wilson:
Using convex hulls to represent classifier conditions. 1481-1488 - Pier Luca Lanzi, Daniele Loiacono:
Standard and averaging reinforcement learning in XCS. 1489-1496 - Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg:
Classifier prediction based on tile coding. 1497-1504 - Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wilson, David E. Goldberg:
Prediction update algorithms for XCSF: RLS, Kalman filter, and gain adaptation. 1505-1512 - Xavier Llorà, Kumara Sastry:
Fast rule matching for learning classifier systems via vector instructions. 1513-1520 - Javier G. Marín-Blázquez
Multi-step environment learning classifier systems applied to hyper-heuristics. 1521-1528 - James A. R. Marshall, Tim Kovacs:
A representational ecology for learning classifier systems. 1529-1536 - Davide Aliprandi, Alex Mancastroppa, Matteo Matteucci:
A Bayesian approach to learning classifier systems in uncertain environments. 1537-1544 - Ingo Mierswa, Michael Wurst:
Information preserving multi-objective feature selection for unsupervised learning. 1545-1552 - Ingo Mierswa:
Evolutionary learning with kernels: a generic solution for large margin problems. 1553-1560 - Albert Orriols-Puig, Ester Bernadó-Mansilla:
Bounding XCS's parameters for unbalanced datasets. 1561-1568 - Jeff Riley, Victor Ciesielski:
Analysis of the difficulty of learning goal-scoring behaviour for robot soccer. 1569-1576 - Shimon Whiteson, Peter Stone:
On-line evolutionary computation for reinforcement learning in stochastic domains. 1577-1584
Learning Classifier systems and other genetics-based machine learning: posters
- Stuart W. Card, Chilukuri K. Mohan:
Ensemble selection for evolutionary learning using information theory and price's theorem. 1587-1588 - Hong-Wei Chen, Ying-Ping Chen:
FTXI: fault tolerance XCS in integer. 1589-1590 - Hisao Ishibuchi, Yusuke Nojima
Multiobjective genetic rule selection as a data mining postprocessing procedure. 1591-1592 - Nick Miles, Alex Alves Freitas, Stephen Serjeant:
Estimating photometric redshifts with genetic algorithms. 1593-1594 - Amin Nikanjam
An anticipatory approach to improve XCSF. 1595-1596 - WonKyung Park, Jae C. Oh
An open-set speaker identification system using genetic learning classifier system. 1597-1598 - Dipti Srinivasan, Dakun Woo, Lily Rachmawati, Kong Wei Lye:
Evolving cooperative behavior in a power market. 1599-1600 - Stephan M. Winkler
Sets of receiver operating characteristic curves and their use in the evaluation of multi-class classification. 1601-1602
Real-world applications: papers
- Antonia Azzini, Andrea Tettamanzi:
A neural evolutionary approach to financial modeling. 1605-1612 - Flor A. Castillo, Arthur K. Kordon, Guido Smits, Ben Christenson, Dee Dickerson:
Pareto front genetic programming parameter selection based on design of experiments and industrial data. 1613-1620 - Dave Cliff:
Evolutionary optimization of ZIP60: a controlled explosion in hyperspace. 1621-1628 - Kalyanmoy Deb, Aravind Srinivasan:
Innovization: innovating design principles through optimization. 1629-1636 - Daniel Delahaye, Stéphane Puechmorel:
3D airspace sectoring by evolutionary computation: real-world applications. 1637-1644 - Rui Li, Michael Emmerich, Jeroen Eggermont, Ernst G. P. Bovenkamp:
Mixed-integer optimization of coronary vessel image analysis using evolution strategies. 1645-1652 - Anna Esparcia-Alcázar, Lidia Lluch-Revert, Ken Sharman, José Miguel Albarracín-Guillem, Marta E. Palmer-Gato:
Towards an evolutionary tool for the allocation of supermarket shelf space. 1653-1660 - Bogdan Filipic, Iztok Fister, Marjan Mernik:
Evolutionary search for optimal combinations of markers in clothing manufacturing. 1661-1666 - Hilmi Günes Kayacik, Malcolm I. Heywood
On evolving buffer overflow attacks using genetic programming. 1667-1674 - Yaser M. A. Khalifa, Ossama Salem, Adham Shahin:
Cutting stock waste reduction using genetic algorithms. 1675-1680 - Nate Kohl, Kenneth O. Stanley, Risto Miikkulainen, Michael E. Samples, Rini Sherony:
Evolving a real-world vehicle warning system. 1681-1688 - Rajeev Kumar, Pramod Kumar Singh, Bhargab B. Bhattacharya:
Biobjective evolutionary and heuristic algorithms for intersection of geometric graphs. 1689-1696 - Greg Lee, Vadim Bulitko:
Genetic algorithms for action set selection across domains: a demonstration. 1697-1704 - Yong Liang, Kwong-Sak Leung, Tony Shu Kam Mok:
Automating the drug scheduling with different toxicity clearance in cancer chemotherapy via evolutionary computation. 1705-1712 - Monte Lunacek, L. Darrell Whitley, Indrakshi Ray:
A crossover operator for the k- anonymity problem. 1713-1720 - Steven Manos, Leon Poladian, Peter J. Bentley, Maryanne Large:
A genetic algorithm with a variable-length genotype and embryogeny for microstructured optical fibre design. 1721-1728 - Songsak Chusanapiputt, Dulyatat Nualhong, Sujate Jantarang, Sukumvit Phoomvuthisarn:
Selective self-adaptive approach to ant system for solving unit commitment problem. 1729-1736 - Gerulf K. M. Pedersen, Zhenyu Yang
Multi-objective PID-controller tuning for a magnetic levitation system using NSGA-II. 1737-1744 - Kumara Sastry, D. D. Johnson, Alexis L. Thompson, David E. Goldberg, Todd J. Martínez, Jeff Leiding
Multiobjective genetic algorithms for multiscaling excited state direct dynamics in photochemistry. 1745-1752 - Yuji Sato
Reward allotment in an event-driven hybrid learning classifier system for online soccer games. 1753-1760 - Yann Semet, Marc Schoenauer:
On the benefits of inoculation, an example in train scheduling. 1761-1768 - Ofer M. Shir, Christian Siedschlag, Thomas Bäck
The complete-basis-functions parameterization in ES and its application to laser pulse shaping. 1769-1776 - Harish Subramanian, Subramanian Ramamoorthy, Peter Stone, Benjamin Kuipers:
Designing safe, profitable automated stock trading agents using evolutionary algorithms. 1777-1784 - Ivan Tanev, Michal Joachimczak, Katsunori Shimohara:
Evolution of driving agent, remotely operating a scale model of a car with obstacle avoidance capabilities. 1785-1792 - Abiola Oduguwa, Ashutosh Tiwari, S. Fiorentino, Rajkumar Roy:
Multi-objective optimisation of the protein-ligand docking problem in drug discovery. 1793-1800 - Haluk Topcuoglu
Genetic algorithms for positioning and utilizing sensors in synthetically generated landscapes. 1801-1808 - Klaus Weinert, Andreas Zabel
Optimizing of NC tool paths for five-axis milling using evolutionary algorithms on wavelets. 1809-1816 - Wei Yan, Christopher D. Clack:
Behavioural GP diversity for dynamic environments: an application in hedge fund investment. 1817-1824 - Toshihiko Yanase, Hitoshi Iba:
Evolutionary motion design for humanoid robots. 1825-1832 - Qijun Zhang, Eduardo Reck Miranda:
Evolving musical performance profiles using genetic algorithms with structural fitness. 1833-1840 - Haipeng Zhang, Mitsuo Gen:
Effective genetic approach for optimizing advanced planning and scheduling in flexible manufacturing system. 1841-1848
Real-world applications: poster
- Peter Belford:
Candlestick stock analysis with genetic algorithms. 1851-1852 - Thomas Butter, Franz Rothlauf, Jörn Grahl, Tobias Hildenbrand, Jens Arndt:
Genetic algorithms and mixed integer linear programs for optimal strategies in a student's "sports" activity. 1853-1854 - Hao Chen, John A. Clark, Jeremy Jacob:
Human competitive security protocols synthesis. 1855-1856 - David de la Fuente, Alejandro Garrido, Jaime Laviada, Alberto Gómez:
Genetic algorithms to optimise the time to make stock market investment. 1857-1858 - David Delgado, David Vidal, Germán Jairo Hernández-Pérez:
Evolutionary design of pseudorandom sequence generators based on cellular automata and its applicability in current cryptosystems. 1859-1860 - César Estébanez, Julio César Hernández Castro, Arturo Ribagorda, Pedro Isasi
Evolving hash functions by means of genetic programming. 1861-1862 - Tao-Yang Fu, Tsu-yu Wu, Chin-te Chen, Kai-chu Wu, Ying-Ping Chen:
Evolutionary interactive music composition. 1863-1864 - Miguel A. Gomez, Carmen X. Flores, Maria A. Osorio:
Hybrid search for cardinality constrained portfolio optimization. 1865-1866 - Alberto Gómez, David de la Fuente, Javier Puente, José Parreño:
A case-study about shift work management at a hospital emergency department with genetic algorithms. 1867-1868 - Satoshi Ikehira, Hajime Kimura:
Multi-objective genetic algorithms for pipe arrangement design. 1869-1870 - Clayton Matthew Johnson, Anu Bhat, William C. Thibault:
An evolutionary approach to camera-based projector calibration. 1871-1872 - Yaser M. A. Khalifa, Mohamed Basel Al-Mourad
Autonomous evolutionary music composer. 1873-1874 - Yiming Li, Cheng-Kai Chen, Yen-Yu Cho:
A unified optimization framework for microelectronics industry. 1875-1876 - Robert M. Patton, Thomas E. Potok:
Characterizing large text corpora using a maximum variation sampling genetic algorithm. 1877-1878 - Neil Urquhart:
Real-time construction of aircraft landing schedules using an evolutionary algorithm. 1879-1880 - Joseph Vannucci, Deon Garrett, Dipankar Dasgupta:
Comparative analysis of the sailor assignment problem. 1881-1882
Search-based software engineering: papers
- Salah Bouktif, Giuliano Antoniol, Ettore Merlo, Markus Neteler:
A novel approach to optimize clone refactoring activity. 1885-1892 - Salah Bouktif, Houari A. Sahraoui, Giuliano Antoniol:
Simulated annealing for improving software quality prediction. 1893-1900 - Myra B. Cohen, Shiu Beng Kooi, Witawas Srisa-an:
Clustering the heap in multi-threaded applications for improved garbage collection. 1901-1908 - Olaf Seng, Johannes Stammel, David Burkhart:
Search-based determination of refactorings for improving the class structure of object-oriented systems. 1909-1916 - Marouane Tlili, Stefan Wappler, Harmen Sthamer:
Improving evolutionary real-time testing. 1917-1924 - Stefan Wappler, Joachim Wegener:
Evolutionary unit testing of object-oriented software using strongly-typed genetic programming. 1925-1932 - Jitian Xiao, Chiou Peng Lam, Huaizhong Li, Jun Wang:
Reformulation of the generation of conformance testing sequences to the asymmetric travelling salesman problem. 1933-1940 - Yuan Zhan, John A. Clark:
The state problem for test generation in Simulink. 1941-1948
Search-based software engineering: posters
- Mark Harman, Alexandros Skaliotis, Kathleen Steinhöfel, Paul Baker:
Search--based approaches to the component selection and prioritization problem. 1951-1952 - Yoonsik Cheon, Myoung Kim:
A specification-based fitness function for evolutionary testing of object-oriented programs. 1953-1954 - Johannes Mayer:
Towards effective adaptive random testing for higher-dimensional input domains. 1955-1956 - Christopher L. Simons, Ian C. Parmee:
Single and multi-objective genetic operators in object-oriented conceptual software design. 1957-1958 - H. Turgut Uyar, A. Sima Etaner-Uyar
Pairwise sequence comparison for fitness evaluation in evolutionary structural software testing. 1959-1960 - Joseph Lewis, Chris Ansoff:
Tuning experiments with an adaptive computational framework. 1961-1962
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