GECCO 2006:
Seattle,
Washington,
USA
Mike Cattolico (Ed.):
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 S. 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, 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
Artificial immune systems:
papers
Artificial immune systems:
posters
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, Saule Kulubekova:
A computational theory of adaptive behavior based on an evolutionary reinforcement mechanism.
175-182
- Volker Nannen, A. E. Eiben:
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, Fikret S. Gürgen:
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, Yong-Hyuk Kim, Yourim Yoon, Byung Ro Moon, Riccardo Poli:
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, Artur Noura Teixeira, Felipe Houat de Brito, Roberto Célio Limão de Oliveira:
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 Y. Zeng, Rui Wang, Hui Shi, Guang Chen, Hugo de Garis, Lishan Kang, Lixin X. Ding:
Both robust computation and mutation operation in dynamic evolutionary algorithm are based on orthogonal design.
1437-1438
Artificial life,
evolutionary robotics,
adaptive behavior:
posters
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, Hitoshi Iba:
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 A. 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, Rüdiger Ehlers, Thusinthan Kajendran, Björn Kosslers, Jörn Mehnen, Tomasz Polaszek, Ralf Reimholz, Jens Schmidt, Karlheinz Schmitt, Danny Seis, Rafael Slodzinski, Simon Steeg, Nils Wiemann, Marc Zimmermann:
High-order punishment and the evolution of cooperation.
379-380
- Walter de Back, Marco Wiering, Edwin D. de Jong:
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, Kumara Sastry, David E. Goldberg:
Sporadic model building for efficiency enhancement of hierarchical BOA.
405-412
- Andrei Petrovski, Siddhartha Shakya, John A. W. McCall:
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
Evolution strategies,
evolutionary programming:
papers
- Dirk V. Arnold, Alexander MacLeod:
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, Darrell Whitley:
The dispersion metric and the CMA evolution strategy.
477-484
- Efrén Mezura-Montes, Jesús Velázquez-Reyes, Carlos A. Coello Coello:
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
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, Iván Dotú:
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, Cláudia J. Farías Zárate, Peter Ross, Manuel Valenzuela-Rendón:
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
Evolutionary multiobjective optimization:
papers
- Adam Berry, Peter Vamplew:
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, Kaname Narukawa, Tsutomu Doi:
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
Evolvable hardware:
poster
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, Robert I. McKay, Daryl Essam:
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, Lance W. Hahn, Scott M. Dudek, Kelli K. Ryckman, Marylyn D. Ritchie:
Alternative cross-over strategies and selection techniques for grammatical evolution optimized neural networks.
947-948
- Zuzana Oplatková, Ivan Zelinka:
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, Wei-Nan Liu, Ying-Ping 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, Riccardo Poli:
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, Günther R. Raidl:
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, Byung Ro Moon:
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, Cláudio F. Lima:
On the utility of the multimodal problem generator for assessing the performance of evolutionary algorithms.
1233-1240
- Fernando G. Lobo, Cláudio F. Lima:
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, Hitoshi Iba:
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, Masaharu Munetomo, Kiyoshi Akama:
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, Martin Pelikan:
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, Sonia Schulenburg:
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, Isao Kuwajima:
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, Adel Torkaman Rahmani:
An anticipatory approach to improve XCSF.
1595-1596
- WonKyung Park, Jae C. Oh, Misty K. Blowers, Matt B. Wolf:
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, Michael Affenzeller, Stefan Wagner:
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, Stephane 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, A. Nur Zincir-Heywood:
On evolving buffer overflow attacks using genetic programming.
1667-1674
- Yaser M. A. Khalifa, O. Salem, A. 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, 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. Martinez, Jeff Leiding, Jane Owens:
Multiobjective genetic algorithms for multiscaling excited state direct dynamics in photochemistry.
1745-1752
- Yuji Sato, Yosuke Akatsuka, Takenori Nishizono:
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, Marc J. J. Vrakking:
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
- A. Oduguwa, A. Tiwari, S. Fiorentino, R. Roy:
Multi-objective optimisation of the protein-ligand docking problem in drug discovery.
1793-1800
- Haluk Topcuoglu, Murat Ermis:
Genetic algorithms for positioning and utilizing sensors in synthetically generated landscapes.
1801-1808
- Klaus Weinert, Andreas Zabel, Heinrich Müller, Petra Kersting:
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 Gomez:
Genetic algorithms to optimise the time to make stock market investment.
1857-1858
- David Delgado, David Vidal, German Hernandez:
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 Gomez, 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
Last update Wed Feb 15 05:02:34 2012
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