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GECCO 2009: Montreal, Québec, Canada
- Franz Rothlauf:
Genetic and Evolutionary Computation Conference, GECCO 2009, Proceedings, Montreal, Québec, Canada, July 8-12, 2009. ACM 2009, ISBN 978-1-60558-325-9
Track 1: ant colony optimization and swarm intelligence
- Thang Nguyen Bui, ThanhVu H. Nguyen, Joseph R. Rizzo:
Parallel shared memory strategies for ant-based optimization algorithms. 1-8 - Ernesto Diaz-Aviles, Wolfgang Nejdl
, Lars Schmidt-Thieme
Swarming to rank for information retrieval. 9-16 - Jose Luis Fernandez-Marquez
An evaporation mechanism for dynamic and noisy multimodal optimization. 17-24 - Sascha Häckel, Patrick Dippold:
The bee colony-inspired algorithm (BCiA): a two-stage approach for solving the vehicle routing problem with time windows. 25-32 - Hugo Hernández, Christian Blum
Self-synchronized duty-cycling in sensor networks with energy harvesting capabilities: the static network case. 33-40 - Namrata Khemka, Christian Jacob:
VISPLORE: a toolkit to explore particle swarms by visual inspection. 41-48 - Yong-Hyuk Kim, Kang Hoon Lee, Yourim Yoon:
Visualizing the search process of particle swarm optimization. 49-56 - Ammar W. Mohemmed, Mark Johnston, Mengjie Zhang:
Particle swarm optimization based multi-prototype ensembles. 57-64 - Angel Eduardo Muñoz Zavala, Arturo Hernández Aguirre, Enrique Raúl Villa Diharce:
The singly-linked ring topology for the particle swarm optimization algorithm. 65-72 - Fernando dos Santos
An ant based algorithm for task allocation in large-scale and dynamic multiagent scenarios. 73-80 - David C. Uthus, Patricia J. Riddle, Hans W. Guesgen
An ant colony optimization approach to the traveling tournament problem. 81-88
Track 2: artificial life, evolutionary robotics, adaptive behavior, and evolvable hardware
- Joshua Evan Auerbach, Josh C. Bongard:
Evolution of functional specialization in a morphologically homogeneous robot. 89-96 - Benjamin E. Beckmann, Philip K. McKinley:
Evolving quorum sensing in digital organisms. 97-104 - Heather Goldsby, Sherri Goings, Jeff Clune, Charles Ofria
Problem decomposition using indirect reciprocity in evolved populations. 105-112 - Faustino J. Gomez:
Sustaining diversity using behavioral information distance. 113-120 - Krishnanand N. Kaipa, Josh C. Bongard, Andrew N. Meltzoff
Combined structure and motion extraction from visual data using evolutionary active learning. 121-128 - Yohannes Kassahun, Jakob Schwendner, Jose de Gea
Learning complex robot control using evolutionary behavior based systems. 129-136 - David B. Knoester, Andres J. Ramirez, Philip K. McKinley, Betty H. C. Cheng
Evolution of robust data distribution among digital organisms. 137-144 - Rogier Koppejan, Shimon Whiteson:
Neuroevolutionary reinforcement learning for generalized helicopter control. 145-152 - Sebastian Risi
How novelty search escapes the deceptive trap of learning to learn. 153-160 - James Smaldon, Natalio Krasnogor, Cameron Alexander
Liposome logic. 161-168 - Andrea Soltoggio
Novelty of behaviour as a basis for the neuro-evolution of operant reward learning. 169-176 - Terence Soule, Robert B. Heckendorn:
Environmental robustness in multi-agent teams. 177-184
Track 3: bioinformatics and computational biology
- Jakramate Bootkrajang
Evolutionary hypernetwork classifiers for protein-proteininteraction sentence filtering. 185-192 - Alberto Castellini, Vincenzo Manca
Learning regulation functions of metabolic systems by artificial neural networks. 193-200 - Béatrice Duval, Jin-Kao Hao
A memetic algorithm for gene selection and molecular classification of cancer. 201-208 - Tim Hohm
Multiobjectivization for parameter estimation: a case-study on the segment polarity network of drosophila. 209-216 - Johannes W. Kruisselbrink, Alexander Aleman, Michael T. M. Emmerich, Adriaan P. IJzerman, Andreas Bender, Thomas Bäck
Enhancing search space diversity in multi-objective evolutionary drug molecule design using niching. 217-224 - Sven Rahmann
Modeling evolutionary fitness for DNA motif discovery. 225-232 - Hiroshi Someya, Kensaku Sakamoto, Masayuki Yamamura:
Biologically-implemented genetic algorithm for protein engineering. 233-240 - Nikolay Vyahhi, Adrien Goëffon, Macha Nikolski, David James Sherman
Swarming along the evolutionary branches sheds light on genome rearrangement scenarios. 241-246
Track 4: combinatorial optimization and metaheuristics
- Benjamin Doerr, Madeleine Theile:
Improved analysis methods for crossover-based algorithms. 247-254 - Pablo Garrido, Carlos Castro:
Stable solving of CVRPs using hyperheuristics. 255-262 - Martin Gruber, Günther R. Raidl:
Exploiting hierarchical clustering for finding bounded diameter minimum spanning trees on euclidean instances. 263-270 - Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown
An experimental investigation of model-based parameter optimisation: SPO and beyond. 271-278 - Bryant A. Julstrom:
Evolving heuristically difficult instances of combinatorial problems. 279-286 - Jin Kim, Byung Ro Moon:
A hybrid genetic algorithm for a variant of two-dimensional packing problem. 287-292 - Stefan Kratsch, Frank Neumann
Fixed-parameter evolutionary algorithms and the vertex cover problem. 293-300 - Jirí Kubalík:
Solving the sorting network problem using iterative optimization with evolved hypermutations. 301-308 - Rajeev Kumar, Bipul Kumar Bal, Peter I. Rockett:
Multiobjective genetic programming approach to evolving heuristics for the bounded diameter minimum spanning tree problem: MOGP for BDMST. 309-316 - David Meignan
A cooperative and self-adaptive metaheuristic for the facility location problem. 317-324 - Matthew J. W. Morgan, Christine L. Mumford
A weight-coded genetic algorithm for the capacitated arc routing problem. 325-332 - Antonio Mucherino
Comparisons between an exact and a metaheuristic algorithm for the molecular distance geometry problem. 333-340 - Gabriela Ochoa
Analyzing the landscape of a graph based hyper-heuristic for timetabling problems. 341-348 - Matthias Prandtstetter
Meta-heuristics for reconstructing cross cut shredded text documents. 349-356 - Wolfgang Steitz, Franz Rothlauf
New insights into the OCST problem: integrating node degrees and their location in the graph. 357-364 - Andrew M. Sutton
A polynomial time computation of the exact correlation structure of k-satisfiability landscapes. 365-372 - Huynh Thi Thanh Binh, Robert I. McKay
New heuristic and hybrid genetic algorithm for solving the bounded diameter minimum spanning tree problem. 373-380 - L. Darrell Whitley, Andrew M. Sutton
Partial neighborhoods of elementary landscapes. 381-388
Track 5: estimation of distribution algorithms
- Peter A. N. Bosman:
On empirical memory design, faster selection of bayesian factorizations and parameter-free gaussian EDAs. 389-396 - Si-Cheng Chen, Tian-Li Yu:
Difficulty of linkage learning in estimation of distribution algorithms. 397-404 - Hisashi Handa
EDA-RL: estimation of distribution algorithms for reinforcement learning problems. 405-412 - Mark Hauschild, Martin Pelikan
Intelligent bias of network structures in the hierarchical BOA. 413-420 - David Iclanzan, D. Dumitrescu, Béat Hirsbrunner:
Correlation guided model building. 421-428 - Martin Pelikan
Initial-population bias in the univariate estimation of distribution algorithm. 429-436 - Elizabeth Radetic, Martin Pelikan
Effects of a deterministic hill climber on hBOA. 437-444 - Roberto Santana, Concha Bielza
Mining probabilistic models learned by EDAs in the optimization of multi-objective problems. 445-452 - Fabien Teytaud, Olivier Teytaud:
Why one must use reweighting in estimation of distribution algorithms. 453-460 - Sergio Ivvan Valdez Peña
Approximating the search distribution to the selection distribution in EDAs. 461-468 - David Wallin, Conor Ryan
Evaluation of population partitioning schemes in bayesian classifier EDAs: estimation of distribution algoithms. 469-476 - Bo Yuan
Convergence analysis of UMDAC with finite populations: a case study on flat landscapes. 477-482
Track 6: evolution strategies and evolutionary programming
- Dirk V. Arnold
On the behaviour of weighted multi-recombination evolution strategies optimising noisy cigar functions. 483-490 - Dirk V. Arnold
A novel approach to adaptive isolation in evolution strategies. 491-498 - Hans-Georg Beyer
On strategy parameter control by Meta-ES. 499-506 - Xuefeng Chen, Xiabi Liu, Yunde Jia:
Combining evolution strategy and gradient descent method for discriminative learning of bayesian classifiers. 507-514 - Stephen B. Chisholm, Dirk V. Arnold
Tone mapping by interactive evolution. 515-522 - Wenyin Gong, Zhihua Cai, Charles X. Ling, Jun Du:
Hybrid differential evolution based on fuzzy C-means clustering. 523-530 - Konstantinos E. Parsopoulos:
Cooperative micro-differential evolution for high-dimensional problems. 531-538 - Yi Sun, Daan Wierstra, Tom Schaul, Jürgen Schmidhuber:
Efficient natural evolution strategies. 539-546
Track 7: evolutionary multiobjective optimization
- Hernán E. Aguirre, Kiyoshi Tanaka:
Space partitioning with adaptive epsilon-ranking and substitute distance assignments: a comparative study on many-objective mnk-landscapes. 547-554 - Anne Auger, Johannes Bader, Dimo Brockhoff, Eckart Zitzler:
Articulating user preferences in many-objective problems by sampling the weighted hypervolume. 555-562 - Anne Auger, Johannes Bader, Dimo Brockhoff, Eckart Zitzler:
Investigating and exploiting the bias of the weighted hypervolume to articulate user preferences. 563-570 - Tobias Friedrich, Christian Horoba, Frank Neumann
Multiplicative approximations and the hypervolume indicator. 571-578 - Abel García-Nájera
Comparison of similarity measures for the multi-objective vehicle routing problem with time windows. 579-586 - José Luis Guerrero, Jesús García
A stopping criterion based on Kalman estimation techniques with several progress indicators. 587-594 - Martin Jähne, Xiaodong Li
Evolutionary algorithms and multi-objectivization for the travelling salesman problem. 595-602 - Patrick Koch, Oliver Kramer, Günter Rudolph, Nicola Beume:
On the hybridization of SMS-EMOA and local search for continuous multiobjective optimization. 603-610 - Antonio López Jaimes, Carlos A. Coello Coello
Study of preference relations in many-objective optimization. 611-618 - Luis Martí
Solving complex high-dimensional problems with the multi-objective neural estimation of distribution algorithm. 619-626 - Jean-Baptiste Mouret
Using behavioral exploration objectives to solve deceptive problems in neuro-evolution. 627-634 - Marek Ostaszewski, Pascal Bouvry
Multiobjective classification with moGEP: an application in the network traffic domain. 635-642 - Alan P. Reynolds
A multiobjective GRASP for rule selection. 643-650 - Oliver Schütze
Evolutionary continuation methods for optimization problems. 651-658 - Ofer M. Shir, Jonathan Roslund, Herschel Rabitz:
Evolutionary multi-objective quantum control experiments with the covariance matrix adaptation. 659-666 - Upali K. Wickramasinghe, Xiaodong Li
Using a distance metric to guide PSO algorithms for many-objective optimization. 667-674
Track 8: generative and developmental systems
- Jeff Clune, Charles Ofria
The sensitivity of HyperNEAT to different geometric representations of a problem. 675-682 - René Doursat:
Facilitating evolutionary innovation by developmental modularity and variability. 683-690 - Marcus Furuholmen, Kyrre Harald Glette, Mats Erling Høvin, Jim Tørresen:
Scalability, generalization and coevolution -- experimental comparisons applied to automated facility layout planning. 691-698 - Simon Harding, Julian Francis Miller, Wolfgang Banzhaf
Evolution, development and learning using self-modifying cartesian genetic programming. 699-706 - Gul Muhammad Khan, Julian F. Miller:
Evolution of cartesian genetic programs capable of learning. 707-714 - Jean Krohn, Peter J. Bentley
The challenge of irrationality: fractal protein recipes for PI. 715-722 - Miguel Nicolau, Marc Schoenauer
Evolving specific network statistical properties using a gene regulatory network model. 723-730 - Vinod K. Valsalam, Risto Miikkulainen:
Evolving symmetric and modular neural networks for distributed control. 731-738
Track 9: genetic algorithms
- Youhei Akimoto, Jun Sakuma, Isao Ono, Shigenobu Kobayashi:
Adaptation of expansion rate for real-coded crossovers. 739-746 - Carlos R. B. Azevedo, V. Scott Gordon:
Adaptive terrain-based memetic algorithms. 747-754 - Olivier Barrière
Bayesian network structure learning using cooperative coevolution. 755-762 - Pedro A. Diaz-Gomez, Dean F. Hougen
Three interconnected parameters for genetic algorithms. 763-770 - Benjamin Doerr, Anton V. Eremeev
Evolutionary algorithms and dynamic programming. 771-778 - Álvaro Fialho, Marc Schoenauer
Analysis of adaptive operator selection techniques on the royal road and long k-path problems. 779-786 - Stefan Haflidason, Richard Neville:
On the significance of the permutation problem in neuroevolution. 787-794 - Gregory S. Hornby:
Steady-state ALPS for real-valued problems. 795-802 - Christian Horoba, Thomas Jansen
Maximal age in randomized search heuristics with aging. 803-810 - Rafael Lahoz-Beltra
Cheating for problem solving: a genetic algorithm with social interactions. 811-818 - Juan Luis Jiménez Laredo
Improving genetic algorithms performance via deterministic population shrinkage. 819-826 - Takéhiko Nakama:
Markov chain analysis of genetic algorithms in a wide variety of noisy environments. 827-834 - Frank Neumann
Theoretical analysis of fitness-proportional selection: landscapes and efficiency. 835-842 - Martin Pelikan
Analysis of evolutionary algorithms on the one-dimensional spin glass with power-law interactions. 843-850 - Martin Pelikan
Performance of evolutionary algorithms on NK landscapes with nearest neighbor interactions and tunable overlap. 851-858 - Clara Pizzuti:
Overlapped community detection in complex networks. 859-866 - Min Shi, Haifeng Wu:
Pareto cooperative coevolutionary genetic algorithm using reference sharing collaboration. 867-874 - Anabela Simões
Improving prediction in evolutionary algorithms for dynamic environments. 875-882 - Anabela Simões
Prediction in evolutionary algorithms for dynamic environments using markov chains and nonlinear regression. 883-890 - David Simoncini, Sébastien Vérel
Centric selection: a way to tune the exploration/exploitation trade-off. 891-898 - Philipp Stuermer, Anthony Bucci, Jürgen Branke, Pablo Funes, Elena Popovici:
Analysis of coevolution for worst-case optimization. 899-906 - Xiaoyan Sun, Dunwei Gong, Subei Li:
Classification and regression-based surrogate model-assisted interactive genetic algorithm with individual's fuzzy fitness. 907-914 - L. Darrell Whitley, Doug Hains, Adele E. Howe:
Tunneling between optima: partition crossover for the traveling salesman problem. 915-922 - Ka-Chun Wong
An evolutionary algorithm with species-specific explosion for multimodal optimization. 923-930
Track 10: genetic programming
- Sam D. Allen, Edmund K. Burke
Evolving reusable 3d packing heuristics with genetic programming. 931-938 - Perry Barile, Victor Ciesielski, Marsha Berry
Animated drawings rendered by genetic programming. 939-946 - Stephanie Forrest
A genetic programming approach to automated software repair. 947-954 - Ami Hauptman, Achiya Elyasaf
GP-rush: using genetic programming to evolve solvers for the rush hour puzzle. 955-962 - Ting Hu, Wolfgang Banzhaf
Neutrality and variability: two sides of evolvability in linear genetic programming. 963-970 - Jae-Yoon Jung, James A. Reggia:
Evolving an autonomous agent for non-Markovian reinforcement learning. 971-978 - David Kinzett, Mark Johnston, Mengjie Zhang:
How online simplification affects building blocks in genetic programming. 979-986 - Krzysztof Krawiec
Approximating geometric crossover in semantic space. 987-994 - Krzysztof Krawiec
Functional modularity for genetic programming. 995-1002 - Robert I. McKay
Estimating the distribution and propagation of genetic programming building blocks through tree compression. 1011-1018 - Nicholas Freitag McPhee, Ellery Fussell Crane, Sara E. Lahr, Riccardo Poli
Developmental plasticity in linear genetic programming. 1019-1026 - Kourosh Neshatian, Mengjie Zhang:
Pareto front feature selection: using genetic programming to explore feature space. 1027-1034 - Michael O'Neill
Shape grammars and grammatical evolution for evolutionary design. 1035-1042 - Michael Orlov, Moshe Sipper:
Genetic programming in the wild: evolving unrestricted bytecode. 1043-1050 - Cynthia B. Pérez, Gustavo Olague
Evolutionary learning of local descriptor operators for object recognition. 1051-1058 - Brian J. Ross, Janine H. Imada:
Evolving stochastic processes using feature tests and genetic programming. 1059-1066 - Joshua Rubini, Robert B. Heckendorn, Terence Soule:
Evolution of team composition in multi-agent systems. 1067-1074 - Andrew Runka:
Evolving an edge selection formula for ant colony optimization. 1075-1082 - Michael D. Schmidt, Hod Lipson
Discovering a domain alphabet. 1083-1090 - Michael D. Schmidt, Hod Lipson
Incorporating expert knowledge in evolutionary search: a study of seeding methods. 1091-1098 - Marc Segond, Cyril Fonlupt
Genetic programming for protein related text classification. 1099-1106 - Shinichi Shirakawa, Tomoharu Nagao
Graph structured program evolution with automatically defined nodes. 1107-1114 - Sara Silva
Operator equalisation, bloat and overfitting: a study on human oral bioavailability prediction. 1115-1122 - Tarundeep Singh, Nawwaf Kharma, Mohmmad Daoud, Rabab Kreidieh Ward:
Genetic programming based image segmentation with applications to biomedical object detection. 1123-1130 - Makoto Tanji, Hitoshi Iba:
Program optimization by random tree sampling. 1131-1138 - Leonardo Vanneschi
Using crossover based similarity measure to improve genetic programming generalization ability. 1139-1146 - Toshihiko Yanase, Yoshihiko Hasegawa
Binary encoding for prototype tree of probabilistic model building GP. 1147-1154
Track 11: genetics-based machine learning
- Jaume Bacardit
A mixed discrete-continuous attribute list representation for large scale classification domains. 1155-1162 - Mihaela Elena Breaban, Henri Luchian:
Unsupervised feature weighting with multi niche crowding genetic algorithms. 1163-1170 - Martin V. Butz, Gerulf K. M. Pedersen, Patrick O. Stalph:
Learning sensorimotor control structures with XCSF: redundancy exploitation and dynamic control. 1171-1178 - Luigi Cardamone, Daniele Loiacono
Evolving competitive car controllers for racing games with neuroevolution. 1179-1186 - Narayanan Unny Edakunni
Modeling UCS as a mixture of experts. 1187-1194 - John Levine, Carl Henrik Westerberg, Michelle Galea, David Humphreys:
Evolutionary-based learning of generalised policies for AI planning domains. 1195-1202 - Feng Gu, Julie Greensmith, Uwe Aickelin
Integrating real-time analysis with the dendritic cell algorithm through segmentation. 1203-1210 - Verena Heidrich-Meisner, Christian Igel:
Uncertainty handling CMA-ES for reinforcement learning. 1211-1218 - Gerard David Howard, Larry Bull, Pier Luca Lanzi:
Towards continuous actions in continuous space and time using self-adaptive constructivism in neural XCSF. 1219-1226 - Marcelo N. Kapp
A PSO-based framework for dynamic SVM model selection. 1227-1234 - Victor M. Landassuri-Moreno
Neural network ensembles for time series forecasting. 1235-1242 - Marek Lipczak, Evangelos E. Milios
Agglomerative genetic algorithm for clustering in social networks. 1243-1250 - Ruochen Liu, Zhengchun Sheng, Licheng Jiao:
Gene transposon based clonal selection algorithm for clustering. 1251-1258 - Timothy Meekhof, Terence Soule, Robert B. Heckendorn:
Improving Markov chain classification using string transformations and evolutionary search. 1259-1266 - Drew Mellor, Steven P. Nicklin:
A population-based approach to finding the matchset of a learning classifier system efficiently. 1267-1274 - Thomas Stibor, Robert F. Oates, Graham Kendall
Geometrical insights into the dendritic cell algorithm. 1275-1282 - WonKyung Park, Jae C. Oh
New entropy model for extraction of structural information from XCS population. 1283-1290 - Riccardo Poli
Free lunches for neural network search. 1291-1298 - Richard Preen
Discrete dynamical genetic programming in XCS. 1299-1306 - José Abdón Ramírez-Ruiz, Manuel Valenzuela-Rendón, Hugo Terashima-Marín
uQFCS: QFCS with unfixed fuzzy sets in continuous multi-step environments with continuous vector actions. 1307-1314 - Patrick O. Stalph, Martin V. Butz, David E. Goldberg, Xavier Llorà:
On the scalability of XCS(F). 1315-1322 - Rosane Maria Maffei Vallim, Thyago S. P. C. Duque, David E. Goldberg, André C. P. L. F. de Carvalho
The multi-label OCS with a genetic algorithm for rule discovery: implementation and first results. 1323-1330
Track 12: parallel evolutionary systems
- Lourdes Araujo
Genotypic differences and migration policies in an island model. 1331-1338 - Marco Biazzini, Balázs Bánhelyi, Alberto Montresor
Distributed hyper-heuristics for real parameter optimization. 1339-1346 - Grégoire Danoy
Overcoming partitioning in large ad hoc networks using genetic algorithms. 1347-1354 - Paul Grouchy, Jekanthan Thangavelautham
An island model for high-dimensional genomes using phylogenetic speciation and species barcoding. 1355-1362 - Kenneth L. Holladay:
Characterizing the genetic programming environment for fifth (GPE5) on a high performance computing cluster. 1363-1370 - Coromoto León, Gara Miranda
A memetic algorithm and a parallel hyperheuristic island-based model for a 2D packing problem. 1371-1378 - Tony E. Lewis, George D. Magoulas
Strategies to minimise the total run time of cyclic graph based genetic programming with GPUs. 1379-1386 - Xavier Llorà:
Data-intensive computing for competent genetic algorithms: a pilot study using meandre. 1387-1394 - Gabriel Luque
An asynchronous parallel implementation of a cellular genetic algorithm for combinatorial optimization. 1395-1402 - Ogier Maitre, Laurent A. Baumes, Nicolas Lachiche
Coarse grain parallelization of evolutionary algorithms on GPGPU cards with EASEA. 1403-1410 - Christian L. Müller, Benedikt Baumgartner, Georg Ofenbeck, Birte Schrader, Ivo F. Sbalzarini
pCMALib: a parallel fortran 90 library for the evolution strategy with covariance matrix adaptation. 1411-1418
Track 13: real world application
- Muhammad Ali Akbar, Muddassar Farooq:
Application of evolutionary algorithms in detection of SIP based flooding attacks. 1419-1426 - Claus de Castro Aranha, Hitoshi Iba:
Using memetic algorithms to improve portfolio performance in static and dynamic trading scenarios. 1427-1434 - Marco Branca, Lorenzo Camerini, Fabrizio Ferrandi
Evolutionary algorithms for the mapping of pipelined applications onto heterogeneous embedded systems. 1435-1442 - Jérémie Bruyelle, Arnaud Lange:
An extended evolution strategy for the characterization of fracture conductivities from well tests. 1443-1450 - Matthew Butler, Ali Daniyal:
Multi-objective optimization with an evolutionary artificial neural network for financial forecasting. 1451-1458 - Louis Charbonneau, Nawwaf Kharma:
Evolutionary inference of rule-based trading agents from real-world stock price histories and their use in forecasting. 1459-1466 - Luís Da Costa, Marc Schoenauer
Bringing evolutionary computation to industrial applications with guide. 1467-1474 - Dipankar Dasgupta, Fernando Niño, Deon Garrett, Koyel Chaudhuri, Soujanya Medapati, Aishwarya Kaushal, James Simien:
A multiobjective evolutionary algorithm for the task based sailor assignment problem. 1475-1482 - Omid David-Tabibi, H. Jaap van den Herik, Moshe Koppel, Nathan S. Netanyahu:
Simulating human grandmasters: evolution and coevolution of evaluation functions. 1483-1490 - François-Michel De Rainville, Christian Gagné
Optimizing low-discrepancy sequences with an evolutionary algorithm. 1491-1498 - Rinku Dewri, L. Darrell Whitley, Indrajit Ray, Indrakshi Ray:
A multi-objective approach to data sharing with privacy constraints and preference based objectives. 1499-1506 - D. Dumitrescu, Rodica Ioana Lung
Generative relations for evolutionary equilibria detection. 1507-1512 - Ghada Hassan
Robustness of multiple objective GP stock-picking in unstable financial markets: real-world applications track. 1513-1520 - Jonathan D. Hiller, Hod Lipson
Multi material topological optimization of structures and mechanisms. 1521-1528 - Akinori Hirabayashi, Claus de Castro Aranha, Hitoshi Iba:
Optimization of the trading rule in foreign exchange using genetic algorithm. 1529-1536 - Jirí Jaros
Evolutionary optimization of multistage interconnection networks performance. 1537-1544 - Peter M. Kruse, Joachim Wegener, Stefan Wappler:
A highly configurable test system for evolutionary black-box testing of embedded systems. 1545-1552 - Syed Bilal Mehdi, Ajay Kumar Tanwani, Muddassar Farooq:
IMAD: in-execution malware analysis and detection. 1553-1560 - Hoang Thanh Nguyen, Bir Bhanu
Tracking multiple objects in non-stationary video. 1561-1568 - Sadia Noreen, Shafaq Murtaza, M. Zubair Shafiq, Muddassar Farooq:
Evolvable malware. 1569-1576 - John C. Oliva, Erik D. Goodman
Evolutionary search and convertible agents for the simultaneous type and dimensional synthesis of planar mechanisms. 1577-1584 - Jella Pfeiffer, Dejan Duzevik, Franz Rothlauf
A genetic algorithm for analyzing choice behavior with mixed decision strategies. 1585-1592 - Cesar Puente
Genetic programming methodology that synthesize vegetation indices for the estimation of soil cover. 1593-1600 - José Luis Risco-Martín
Mixed heuristic and mathematical programming using reference points for dynamic data types optimization in multimedia embedded systems. 1601-1608 - José L. Risco-Martín
Optimization of dynamic memory managers for embedded systems using grammatical evolution. 1609-1616 - Muhammad Shahzad, Saira Zahid, Muddassar Farooq:
A hybrid GA-PSO fuzzy system for user identification on smart phones. 1617-1624 - Jim E. Smith, Alistair R. Clark, Andrea T. Staggemeier:
A genetic approach to statistical disclosure control. 1625-1632 - Garnett Carl Wilson, Wolfgang Banzhaf
Soft memory for stock market analysis using linear and developmental genetic programming. 1633-1640 - Wei Yan, Christopher D. Clack
Behavioural GP diversity for adaptive stock selection. 1641-1648
Track 14: search based software engineering
- Andrea Arcuri:
Insight knowledge in search based software testing. 1649-1656 - Zeina Awedikian, Kamel Ayari, Giuliano Antoniol:
MC/DC automatic test input data generation. 1657-1664 - Javier Ferrer
Dealing with inheritance in OO evolutionary testing. 1665-1672 - Stefan Gueorguiev, Mark Harman
Software project planning for robustness and completion time in the presence of uncertainty using multi objective search based software engineering. 1673-1680 - Mark Harman
Search based data sensitivity analysis applied to requirement engineering. 1681-1688 - Phil McMinn:
Search-based failure discovery using testability transformations to generate pseudo-oracles. 1689-1696 - Sion Ll Rhys, Simon M. Poulding, John A. Clark:
Using automated search to generate test data for matlab. 1697-1704
Track 15: theory
- Alberto Moraglio
Geometric differential evolution. 1705-1712 - Philipp Rohlfshagen, Per Kristian Lehre
Dynamic evolutionary optimisation: an analysis of frequency and magnitude of change. 1713-1720 - Travis C. Service, Daniel R. Tauritz
Free lunches in pareto coevolution. 1721-1728 - R. Paul Wiegand, Gautham Anil, Ivan I. Garibay
On the performance effects of unbiased module encapsulation. 1729-1736
Track 1: ant colony optimization and swarm intelligence
- Julio Barrera, Carlos A. Coello Coello
Limiting the velocity in particle swarm optimization using a geometric series. 1739-1740 - Xingguo Chen, Hao Wang, Weiwei Wang, Yinghuan Shi, Yang Gao:
Apply ant colony optimization to Tetris. 1741-1742 - Sunny Choi, Blayne E. Mayfield:
Particle swarm optimization in the presence of multiple global optima. 1743-1744 - Frank Jones, Terence Soule:
Dynamic particle swarm optimization via ring topologies. 1745-1746 - Tyson Kendon
Building with the beeoids: guided automatic construction using pheromones. 1747-1748 - Kyriakos Kentzoglanakis, Matthew Poole:
Particle swarm optimization with an oscillating inertia weight. 1749-1750 - Javier H. López, Laura Lanzarini
Particle swarm optimization with oscillation control. 1751-1752 - Nabila Nouaouria
A particle swarm optimization approach for substance identification. 1753-1754 - Nikhil Padhye:
Comparison of archiving methods in multi-objectiveparticle swarm optimization (MOPSO): empirical study. 1755-1756 - Waseem Shahzad, Abdul Basit Siddiqui
Cryptanalysis of four-rounded DES using binary particle swarm optimization. 1757-1758 - Hongfeng Xiao, Guanzheng Tan:
Simplex-based particles swarm optimizer. 1759-1760 - Zhi-hui Zhan, Jun Zhang
Particle swarm optimization with information share mechanism. 1761-1762 - Zhi-hui Zhan, Jun Zhang
Orthogonal learning particle swarm optimization. 1763-1764 - Zhi-hui Zhan, Jun Zhang
Ant colony system based on receding horizon control for aircraft arrival sequencing and scheduling. 1765-1766
Track 2: artificial life, evolutionary robotics, adaptive behavior, and evolvable hardware
- André da Motta Salles Barreto, Douglas Adriano Augusto, Helio J. C. Barbosa:
On the characteristics of sequential decision problems and their impact on evolutionary computation. 1767-1768 - Josh C. Bongard:
The impact of jointly evolving robot morphology and control on adaptation rate. 1769-1770 - Stéphane Doncieux, Jean-Baptiste Mouret
Single step evolution of robot controllers for sequential tasks. 1771-1772 - Brent E. Eskridge, Dean F. Hougen
Using action abstraction to evolve effective controllers. 1773-1774 - Juan J. Figueredo, Jonatan Gómez:
Evolved neural fields applied to the stability problem of a simple biped walking model. 1775-1776 - Marcus Komann, Dietmar Fey:
Evaluating the evolvability of emergent agents with different numbers of states. 1777-1778 - Pedro Sousa, Carla Duarte, Nuno Horta
FUGA: a fuzzy-genetic analog circuit optimization kernel. 1779-1780 - Susan Stepney:
Visualising random boolean network dynamics. 1781-1782
Track 3: bioinformatics and computational biology
- Edgar David Arenas-Díaz, Helga Ochoterena-Booth, Katya Rodríguez-Vázquez
Multiple sequence alignment using evolutionary algorithms. 1783-1784 - Casey S. Greene
Environmental noise improves epistasis models of genetic data discovered using a computational evolution system. 1785-1786 - Mauricio Guevara, Edgar E. Vallejo
Computer simulation on the maternal effect dominant embryonic arrest (MEDEA) for disease vector population replacement. 1787-1788 - William B. Langdon, Joanna Rowsell, Andrew P. Harrison:
Creating regular expressions as mRNA motifs with GP to predict human exon splitting. 1789-1790 - Luis Germán Pérez-Hernández, Katya Rodríguez-Vázquez
Parallel particle swarm optimization applied to the protein folding problem. 1791-1792 - José Juan Tapia, Edgar E. Vallejo
MOCEA: a multi-objective clustering evolutionary algorithm for inferring protein-protein functional interactions. 1793-1794 - Vinicius Tragante do Ó
Control of the number of random imigrants in genetic algorithms for protein structure prediction. 1795-1796
Track 4: combinatorial optimization and metaheuristics
- Emely Arráiz, Oswaldo Olivo:
Competitive simulated annealing and Tabu Search algorithms for the max-cut problem. 1797-1798 - Maroun Bercachi, Philippe Collard, Manuel Clergue
Do not choose representation just change: an experimental study in states based EA. 1799-1800 - Charles-Edmond Bichot:
Metaheuristics for graph bisection. 1801-1802 - Camelia Chira
Solving the linear ordering problem using ant models. 1803-1804 - Bryant A. Julstrom:
Evolutionary codings and operators for the terminal assignment problem. 1805-1806 - Parvaz Mahdabi, Mahdi Abadi
A novel quantum-inspired evolutionary algorithm for solving combinatorial optimization problems. 1807-1808 - Thorsten Meinl, Michael R. Berthold:
Crossover operators for multiobjective k-subset selection. 1809-1810 - José Carlos Ortiz-Bayliss
A neuro-evolutionary approach to produce general hyper-heuristics for the dynamic variable ordering in hard binary constraint satisfaction problems. 1811-1812 - Andrew Runka, Beatrice M. Ombuki-Berman, Mario Ventresca:
A search space analysis for the waste collection vehicle routing problem with time windows. 1813-1814 - Deam James Azevedo da Silva, Roberto Célio Limão de Oliveira
A multipopulation cultural algorithm based on genetic algorithm for the MKP. 1815-1816
Track 5: estimation of distribution algorithms
- Chang Wook Ahn
Estimation of particle swarm distribution algorithms: bringing together the strengths of PSO and EDAs. 1817-1818 - Thyago S. P. C. Duque, David E. Goldberg:
A new method for linkage learning in the ECGA. 1819-1820 - Feng Wang, Zhiyi Lin, Cheng Yang, Yuanxiang Li:
SGMIEC: using selfish gene theory to construct mutualinformation and entropy based cluster for optimization. 1821-1822
Track 6: evolution strategies and evolutionary programming
- Oscar J. Romero López
Modulation of multi-level evolutionary strategies for artificial cognition. 1823-1824 - Mário Augusto da Costa Torres, Rodrigo Magno Silva, Otávio Noura Teixeira
A fuzzy inference system-inspired influence function for the cultural algorithm with evolutionary programming applied to real-valued function optimization. 1825-1826 - Francisco Viveros Jiménez, Efrén Mezura-Montes
Adaptive evolution: an efficient heuristic for global optimization. 1827-1828
Track 7: evolutionary multiobjective optimization
- Madeleine Davis-Moradkhan, Will N. Browne
Extending evolutionary algorithms to discover tri-criterion and non-supported solutions for the minimum spanning tree problem. 1829-1830 - Hisao Ishibuchi
Single-objective and multi-objective formulations of solution selection for hypervolume maximization. 1831-1832 - Giovanni Lizárraga, Arturo Hernández Aguirre, Salvador Botello:
A benchmark for quality indicators in multi-objective optimization. 1833-1834 - Alvaro Luis Bustamante, José M. Molina López
Video encoder optimization via evolutionary multiobjective optimization algorithms. 1835-1836 - Hemant K. Singh
An improved secondary ranking for many objective optimization problems. 1837-1838
Track 8: generative and developmental systems
- Michal Bidlo, Zdenek Vasícek:
Development of combinational circuits using non-uniform cellular automata: initial results. 1839-1840 - María J. Casas, Francisco J. Vico:
On the performance of some bioinspired genetic operators in complex structures evolution. 1841-1842 - Alexandre Devert:
When and why development is needed: generative and developmental systems. 1843-1844
Track 9: genetic algorithms
- Magda Bahaa Eldin Fayek, Ihab A. Talkhan, Khalil S. El-Masry:
GAMA (genetic algorithm driven multi-agents)for e-commerce integrative negotiation. 1845-1846 - Bart Gajderowicz
Expectation maximization enhancement with evolutionstrategy for stochastic ontology mapping. 1847-1848 - Jonatan Gómez, Giovanni Cantor:
A population scheme using cellular automata, cambrian explosions and massive extinctions. 1849-1850 - Gerardo Gonzalez, Dean F. Hougen
Elitism, fitness, and growth. 1851-1852 - Yuan-Wei Huang, Ying-Ping Chen:
On the detection of general problem structures by using inductive linkage identification. 1853-1854 - Yoshiaki Katada, Kazuhiro Ohkura:
Analysis on topologies of fitness landscapes with both neutrality and ruggedness based on neutral networks. 1855-1856 - Susan Khor:
Effect of degree distribution on evolutionary search. 1857-1858 - Ivan Koryakovskiy, Nguyen Xuan Hoai, Kyoung Mu Lee:
A genetic algorithm with local map for path planning in dynamic environments. 1859-1860 - Fiacc Larkin, Conor Ryan
Avoiding the pitfalls of noisy fitness functions with genetic algorithms. 1861-1862 - Antonio LaTorre
Hybrid evolutionary algorithms for large scale continuous problems. 1863-1864 - Seung-Kyu Lee, Byung Ro Moon:
Genetic algorithm with adaptive elitism-based immigrants for dynamic optimization problems. 1865-1866 - Yun-Geun Lee, Robert I. McKay
The effect of vesicular selection in dynamic environments. 1867-1868 - Wei-Kai Lin, Tian-Li Yu:
Co-evolvability of games in coevolutionary genetic algorithms. 1869-1870 - Jinchao Liu, Zhun Fan
SRaDE: an adaptive differential evolution based on stochastic ranking. 1871-1872 - André Nwamba, Daniel R. Tauritz
Futility-based offspring sizing. 1873-1874 - Gustavo Reis, Francisco Fernández, Gustavo Olague
Cooperative and decomposable approaches on royal road functions: overcoming the random mutation hill-climber. 1875-1876 - Leonardo Vanneschi
Limitations of the fitness-proportional negative slope coefficient as a difficulty measure. 1877-1878 - Bo Yuan
An improved small-sample statistical test for comparing the success rates of evolutionary algorithms. 1879-1880
Track 10: genetic programming
- Jonathan Byrne
Structural and nodal mutation in grammatical evolution. 1881-1882 - Pei Fang Guo, Prabir Bhattacharya:
An evolutionary approach to feature function generation in application to biomedical image patterns. 1883-1884 - András Joó, Juan Pablo Neirotti
Towards identifying salient patterns in genetic programming individuals. 1885-1886 - Ilan Kadar, Ohad Ben-Shahar
Evolution of a local boundary detector for natural images via genetic programming and texture cues. 1887-1888 - Tim Lewis, Russell J. Haines:
Formal verification to enhance evolution of protocols. 1889-1890 - Yandu Oppacher, Franz Oppacher, Dwight Deugo
Evolving java objects using a grammar-based approach. 1891-1892 - Andy Song
Bloat control in genetic programming by evaluating contribution of nodes. 1893-1894 - Leonardo Vanneschi
Variable size population for dynamic optimization with genetic programming. 1895-1896 - Huiyu Zhou
Backward time related association rule mining in trafficprediction using genetic network programming withdatabase rearrangement. 1897-1898
Track 11: genetics-based machine learning
- Jeffrey K. Bassett, Mark Coletti, Kenneth A. De Jong:
The relationship between evolvability and bloat. 1899-1900 - John A. Doucette, Peter Lichodzijewski, Malcolm I. Heywood
Benchmarking coevolutionary teaming under classification problems with large attribute spaces. 1901-1902 - Stephen Johns, Marcus V. dos Santos:
On the evolution of neural networks for pairwise classification using gene expression programming. 1903-1904 - Zhenyu Lu, Josh C. Bongard:
Exploiting multiple classifier types with active learning. 1905-1906 - Núria Macià, Albert Orriols-Puig, Ester Bernadó-Mansilla
EMO shines a light on the holes of complexity space. 1907-1908 - Hossein Moeinzadeh
Evolutionary-class independent LDA as a pre-process for improving classification. 1909-1910 - Jose Garcia Moreno-Torres, Xavier Llorà, David E. Goldberg:
Binary representation in gene expression programming: towards a better scalability. 1911-1912 - Farzaneh Naghibi, Ali Vahdat, Malcolm I. Heywood
Evolutionary clustering with arbitrary subspaces. 1913-1914 - M. Zubair Shafiq, S. Momina Tabish, Muddassar Farooq:
Are evolutionary rule learning algorithms appropriate for malware detection? 1915-1916 - Guangfei Yang, Shingo Mabu, Kaoru Shimada
Ranking association rules for classification based on genetic network programming. 1917-1918
Track 12: parallel evolutionary systems
- Malika Mehdi, Nouredine Melab, El-Ghazali Talbi, Pascal Bouvry
Interval island model initialization for permutation-based problems. 1919-1920
Track 13: real world application
- Sergio Gandini, Danilo Ravotto, Walter Ruzzarin, Ernesto Sánchez, Giovanni Squillero, Alberto Paolo Tonda
Automatic detection of software defects: an industrial experience. 1921-1922 - Aaron Garrett, Daniel Eric Smith:
Alternative voting systems in stock car racing. 1923-1924 - Erik F. Golen, Bo Yuan, Nirmala Shenoy:
An evolutionary approach to underwater sensor deployment. 1925-1926 - Qingsong Hu, Lihong Xu, Erik D. Goodman
Dynamic multi-objective control of IPMCs propelled robot fish based on NSGA-II. 1927-1928 - Ting Hu, Yuanzhu Peter Chen, Wolfgang Banzhaf
An evolutionary approach to planning IEEE 802.16 networks. 1929-1930 - Hyunmin Kim, Yong-Hyuk Kim:
Optimal designs of ambiguous mobile keypad with alphabetical constraints. 1931-1932 - Seung-Kyu Lee, Byung Ro Moon:
Finding attractive rules in stock markets using a modular genetic programming. 1933-1934 - Akira Oyama, Taku Nonomura
Data mining of non-dominated solutions using proper orthogonal decomposition. 1935-1936 - Mohamad M. Tawfick, Hazem M. Abbas
Evolutionary maximum likelihood image compression. 1937-1938 - Paresh Tolay, Rajeev Kumar:
Evolution of hyperheuristics for the biobjective graph coloring problem using multiobjective genetic programming. 1939-1940 - Tim Weninger
An evolutionary approach to constructive induction for link discovery. 1941-1942 - Andreas Windisch, Felix F. Lindlar, Sebastian Topuz, Stefan Wappler:
Evolutionary functional testing of continuous control systems. 1943-1944
Track 14: search based software engineering
- William B. Langdon, Mark Harman
Multi objective higher order mutation testing with GP. 1945-1946 - Matteo Miraz, Pier Luca Lanzi, Luciano Baresi
TestFul: using a hybrid evolutionary algorithm for testing stateful systems. 1947-1948 - José Carlos Bregieiro Ribeiro
An adaptive strategy for improving the performance of genetic programming-based approaches to evolutionary testing. 1949-1950
Track 15: theory
- Philippe Rolet, Michèle Sebag, Olivier Teytaud:
Optimal robust expensive optimization is tractable. 1951-1956
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