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Genetic and Evolutionary Computation Conference (GECCO) (gecco)
2006 (conf/gecco/2006)

  1. Stefan Bird, Xiaodong Li
    Adaptively choosing niching parameters in a PSO. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:3-10 [Conf]
  2. Thang Nguyen Bui, Catherine M. Zrncic
    An ant-based algorithm for finding degree-constrained minimum spanning tree. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:11-18 [Conf]
  3. Thang Nguyen Bui, ThanhVu H. Nguyen
    An agent-based algorithm for generalized graph colorings. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:19-26 [Conf]
  4. Allen Chan, Alex Alves Freitas
    A new ant colony algorithm for multi-label classification with applications in bioinfomatics. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:27-34 [Conf]
  5. Elon S. Correa, Alex Alves Freitas, Colin G. Johnson
    A new discrete particle swarm algorithm applied to attribute selection in a bioinformatics data set. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:35-42 [Conf]
  6. James Smaldon, Alex Alves Freitas
    A new version of the ant-miner algorithm discovering unordered rule sets. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:43-50 [Conf]
  7. Xiaodong Li, Jürgen Branke, Tim Blackwell
    Particle swarm with speciation and adaptation in a dynamic environment. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:51-58 [Conf]
  8. Christopher K. Monson, Kevin D. Seppi
    Adaptive diversity in PSO. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:59-66 [Conf]
  9. Srinivas Pasupuleti, Roberto Battiti
    The gregarious particle swarm optimizer (G-PSO). [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:67-74 [Conf]
  10. Andrew M. Sutton, Darrell Whitley, Monte Lunacek, Adele E. Howe
    PSO and multi-funnel landscapes: how cooperation might limit exploration. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:75-82 [Conf]
  11. Ming-chung Jian, Ying-Ping Chen
    Introducing recombination with dynamic linkage discovery to particle swarm optimization. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:85-86 [Conf]
  12. Matteo Matteucci, Lorenzo Mussone
    Ant colony optimization technique for equilibrium assignment in congested transportation networks. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:87-88 [Conf]
  13. Margarita Reyes Sierra, Carlos A. Coello Coello
    Dynamic fitness inheritance proportion for multi-objective particle swarm optimization. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:89-90 [Conf]
  14. William A. Tozier, Michael R. Chesher, Tejinderpal S. Devgan
    The Brueckner network: an immobile sorting swarm. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:91-92 [Conf]
  15. Werner Dilger, Steve Strangfeld
    Properties of the bersini experiment on self-assertion. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:95-102 [Conf]
  16. Kenneth S. Edge, Gary B. Lamont, Richard A. Raines
    A retrovirus inspired algorithm for virus detection & optimization. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:103-110 [Conf]
  17. Zhou Ji, Dipankar Dasgupta
    Applicability issues of the real-valued negative selection algorithms. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:111-118 [Conf]
  18. Marek Ostaszewski, Franciszek Seredynski, Pascal Bouvry
    Immune anomaly detection enhanced with evolutionary paradigms. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:119-126 [Conf]
  19. Andreas Pietzowski, Wolfgang Trumler, Theo Ungerer
    An artificial immune system and its integration into an organic middleware for self-protection. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:129-130 [Conf]
  20. Stefan Schadwinkel, Werner Dilger
    A dynamic approach to artificial immune systems utilizing neural networks. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:131-132 [Conf]
  21. Gregory J. Barlow, Choong K. Oh
    Robustness analysis of genetic programming controllers for unmanned aerial vehicles. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:135-142 [Conf]
  22. Josh Jones, Terry Soule
    Comparing genetic robustness in generational vs. steady state evolutionary algorithms. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:143-150 [Conf]
  23. DaeEun Kim
    Memory analysis and significance test for agent behaviours. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:151-158 [Conf]
  24. Michael Kirley
    Dominance hierarchies and social diversity in multi-agent systems. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:159-166 [Conf]
  25. Heejin Lim, Yoonsuck Choe
    Facilitating neural dynamics for delay compensation and prediction in evolutionary neural networks. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:167-174 [Conf]
  26. J. J. McDowell, Paul L. Soto, Jesse Dallery, Saule Kulubekova
    A computational theory of adaptive behavior based on an evolutionary reinforcement mechanism. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:175-182 [Conf]
  27. Volker Nannen, A. E. Eiben
    A method for parameter calibration and relevance estimation in evolutionary algorithms. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:183-190 [Conf]
  28. Gustavo Olague, Cesar Puente
    Parisian evolution with honeybees for three-dimensional reconstruction. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:191-198 [Conf]
  29. Stephan Otto, Stefan Kirn
    Adaption in distributed systems: an evolutionary approach. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:199-206 [Conf]
  30. Joshua L. Payne, Margaret J. Eppstein
    Emergent mating topologies in spatially structured genetic algorithms. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:207-214 [Conf]
  31. Ehud Schlessinger, Peter J. Bentley, R. Beau Lotto
    Modular thinking: evolving modular neural networks for visual guidance of agents. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:215-222 [Conf]
  32. Xue Zhong, Terence Soule
    Growth of self-canceling code in evolutionary systems. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:223-228 [Conf]
  33. Arturo Chavoya, Yves Duthen
    Using a genetic algorithm to evolve cellular automata for 2D/3D computational development. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:231-232 [Conf]
  34. David F. Montana, Eric Van Wyk, Marshall Brinn, Joshua Montana, Stephen Milligan
    Genomic computing networks learn complex POMDPs. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:233-234 [Conf]
  35. H. L. Peng, J. C. Tay
    The Baldwin effect under spatial isolation and autonomous reproduction. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:235-236 [Conf]
  36. 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. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:239-246 [Conf]
  37. Jaume Bacardit, Michael Stout, Natalio Krasnogor, Jonathan D. Hirst, Jacek Blazewicz
    Coordination number prediction using learning classifier systems: performance and interpretability. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:247-254 [Conf]
  38. Francesco Archetti, Stefano Lanzeni, Enza Messina, Leonardo Vanneschi
    Genetic programming for human oral bioavailability of drugs. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:255-262 [Conf]
  39. Nasimul Noman, Hitoshi Iba
    Inference of genetic networks using S-system: information criteria for model selection. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:263-270 [Conf]
  40. Topon Kumar Paul, Hitoshi Iba
    Identification of weak motifs in multiple biological sequences using genetic algorithm. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:271-278 [Conf]
  41. Christian Spieth, Nadine Hassis, Felix Streichert
    Comparing mathematical models on the problem of network inference. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:279-286 [Conf]
  42. Tiffani L. Williams, Marc L. Smith
    The role of diverse populations in phylogenetic analysis. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:287-294 [Conf]
  43. Ignasi Belda, Ivan Traus, Susana Gordo, Teresa Tarragó, Sergio Madurga, Xavier Llorà, Ernest Giralt
    Peptide data mining: from virtual design to knowledge extraction. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:297-298 [Conf]
  44. Clayton Matthew Johnson, Anitha Katikireddy
    A genetic algorithm with backtracking for protein structure prediction. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:299-300 [Conf]
  45. Timothy Meekhof, Gary W. Daughdrill, Robert B. Heckendorn
    String transformation-based Bayesian classification or proteins. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:301-302 [Conf]
  46. Seung-Hyun Moon, Sung-Soon Choi, Byung Ro Moon
    A hybrid genetic search for multiple sequence alignment. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:303-304 [Conf]
  47. Christian Spieth, Rene Worzischek, Felix Streichert
    Comparing evolutionary algorithms on the problem of network inference. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:305-306 [Conf]
  48. Philip Tan, Joc Cing Tay
    Evolving boolean networks to find intervention points in dengue pathogenesis. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:307-308 [Conf]
  49. Frederik P. J. Vandecasteele, Thomas F. Hess, Ronald L. Crawford
    Genetic algorithms are suitable for driving microbial ecosystems in desirable directions. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:309-310 [Conf]
  50. Edwin D. de Jong, Anthony Bucci
    DECA: dimension extracting coevolutionary algorithm. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:313-320 [Conf]
  51. Sevan G. Ficici
    A game-theoretic investigation of selection methods in two-population coevolution. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:321-328 [Conf]
  52. German A. Monroy, Kenneth O. Stanley, Risto Miikkulainen
    Coevolution of neural networks using a layered pareto archive. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:329-336 [Conf]
  53. Frans A. Oliehoek, Edwin D. de Jong, Nikos A. Vlassis
    The parallel Nash Memory for asymmetric games. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:337-344 [Conf]
  54. Liviu Panait, Sean Luke, Joseph F. Harrison
    Archive-based cooperative coevolutionary algorithms. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:345-352 [Conf]
  55. Elena Popovici, Kenneth A. De Jong
    The effects of interaction frequency on the optimization performance of cooperative coevolution. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:353-360 [Conf]
  56. Leonardo Vanneschi, Giancarlo Mauri, Andrea Valsecchi, Stefano Cagnoni
    Heterogeneous cooperative coevolution: strategies of integration between GP and GA. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:361-368 [Conf]
  57. R. Paul Wiegand, Mitchell A. Potter
    Robustness in cooperative coevolution. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:369-376 [Conf]
  58. 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. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:379-380 [Conf]
  59. Walter de Back, Marco Wiering, Edwin D. de Jong
    Red Queen dynamics in a predator-prey ecosystem. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:381-382 [Conf]
  60. Nanlin Jin
    Indirect co-evolution for understanding belief in an incomplete information dynamic game. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:383-384 [Conf]
  61. Michael D. Schmidt, Hod Lipson
    Actively probing and modeling users in interactive coevolution. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:385-386 [Conf]
  62. Yunpeng Cai, Xiaomin Sun, Peifa Jia
    Probabilistic modeling for continuous EDA with Boltzmann selection and Kullback-Leibeler divergence. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:389-396 [Conf]
  63. Jörn Grahl, Peter A. N. Bosman, Franz Rothlauf
    The correlation-triggered adaptive variance scaling IDEA. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:397-404 [Conf]
  64. Martin Pelikan, Kumara Sastry, David E. Goldberg
    Sporadic model building for efficiency enhancement of hierarchical BOA. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:405-412 [Conf]
  65. Andrei Petrovski, Siddhartha Shakya, John McCall
    Optimising cancer chemotherapy using an estimation of distribution algorithm and genetic algorithms. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:413-418 [Conf]
  66. Kumara Sastry, Cláudio F. Lima, David E. Goldberg
    Evaluation relaxation using substructural information and linear estimation. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:419-426 [Conf]
  67. Moshe Looks
    Levels of abstraction in modeling and sampling: the feature-based Bayesian optimization algorithm. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:429-430 [Conf]
  68. Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg
    Hierarchical BOA on random decomposable problems. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:431-432 [Conf]
  69. Hao Wu, Jonathan L. Shapiro
    Does overfitting affect performance in estimation of distribution algorithms. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:433-434 [Conf]
  70. Dirk V. Arnold, Alexander MacLeod
    Hierarchically organised evolution strategies on the parabolic ridge. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:437-444 [Conf]
  71. Anne Auger, Nikolaus Hansen
    Reconsidering the progress rate theory for evolution strategies in finite dimensions. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:445-452 [Conf]
  72. Christian Igel, Thorsten Suttorp, Nikolaus Hansen
    A computational efficient covariance matrix update and a (1+1)-CMA for evolution strategies. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:453-460 [Conf]
  73. Jens Jägersküpper
    Probabilistic runtime analysis of (1 +<over>, lambda), ES using isotropic mutations. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:461-468 [Conf]
  74. Thomas Jansen, Ingo Wegener
    On the local performance of simulated annealing and the (1+1) evolutionary algorithm. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:469-476 [Conf]
  75. Monte Lunacek, Darrell Whitley
    The dispersion metric and the CMA evolution strategy. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:477-484 [Conf]
  76. Efrén Mezura-Montes, Jesús Velázquez-Reyes, Carlos A. Coello Coello
    A comparative study of differential evolution variants for global optimization. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:485-492 [Conf]
  77. Dirk Sudholt
    On the analysis of the (1+1) memetic algorithm. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:493-500 [Conf]
  78. Andrea Soltoggio
    A simple line search operator for ridged landscapes. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:503-504 [Conf]
  79. William Beaudoin, Sébastien Vérel, Philippe Collard, Cathy Escazut
    Deceptiveness and neutrality the ND family of fitness landscapes. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:507-514 [Conf]
  80. Christian Blum
    A new hybrid evolutionary algorithm for the huge k-cardinality tree problem. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:515-522 [Conf]
  81. Yoginder S. Dandass, Amit C. Bugde
    Comparison of genetic representation schemes for scheduling soft real-time parallel applications. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:523-530 [Conf]
  82. Manuel Cebrián, Iván Dotú
    GRASP - evolution for constraint satisfaction problems. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:531-538 [Conf]
  83. Oliver Giel, Ingo Wegener
    Maximum cardinality matchings on trees by randomized local search. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:539-546 [Conf]
  84. Amanda Hiley, Bryant A. Julstrom
    The quadratic multiple knapsack problem and three heuristic approaches to it. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:547-552 [Conf]
  85. Jeremiah Nummela, Bryant A. Julstrom
    An effective genetic algorithm for the minimum-label spanning tree problem. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:553-558 [Conf]
  86. David Simoncini, Sébastien Vérel, Philippe Collard, Manuel Clergue
    Anisotropic selection in cellular genetic algorithms. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:559-566 [Conf]
  87. Tobias Storch
    How randomized search heuristics find maximum cliques in planar graphs. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:567-574 [Conf]
  88. Jing Tang, Meng-Hiot Lim, Yew-Soon Ong
    Adaptation for parallel memetic algorithm based on population entropy. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:575-582 [Conf]
  89. Syhlin Kuah, Joc Cing Tay
    Combining simplex with niche-based evolutionary computation for job-shop scheduling. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:583-590 [Conf]
  90. 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. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:591-598 [Conf]
  91. Yi-Liang Xu, Meng-Hiot Lim, Yew-Soon Ong, Jing Tang
    A GA-ACO-local search hybrid algorithm for solving quadratic assignment problem. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:599-606 [Conf]
  92. Brenda Hinkemeyer, Bryant A. Julstrom
    A genetic algorithm for the longest common subsequence problem. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:609-610 [Conf]
  93. Steven Manos, Geraint Lewis
    A combinatorial genetic algorithm for the configuration of the 2dF/AAOmega spectrograph at the anglo-Australian observatory. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:611-612 [Conf]
  94. Sébastien Vérel, Philippe Collard, Manuel Clergue
    Measuring the evolvability landscape to study neutrality. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:613-614 [Conf]
  95. Mohammed S. Zahrani, Martin J. Loomes, James A. Malcolm, Andreas Alexander Albrecht
    Genetic local search for multicast routing. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:615-616 [Conf]
  96. Adam Berry, Peter Vamplew
    An efficient approach to unbounded bi-objective archives -: introducing the mak_tree algorithm. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:619-626 [Conf]
  97. Peter A. N. Bosman, Edwin D. de Jong
    Combining gradient techniques for numerical multi-objective evolutionary optimization. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:627-634 [Conf]
  98. Kalyanmoy Deb, J. Sundar
    Reference point based multi-objective optimization using evolutionary algorithms. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:635-642 [Conf]
  99. Kalyanmoy Deb, Shamik Chaudhuri, Kaisa Miettinen
    Towards estimating nadir objective vector using evolutionary approaches. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:643-650 [Conf]
  100. Oliver Giel, Per Kristian Lehre
    On the effect of populations in evolutionary multi-objective optimization. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:651-658 [Conf]
  101. Ken Harada, Jun Sakuma, Shigenobu Kobayashi
    Local search for multiobjective function optimization: pareto descent method. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:659-666 [Conf]
  102. Ken Harada, Kokolo Ikeda, Shigenobu Kobayashi
    Hybridization of genetic algorithm and local search in multiobjective function optimization: recommendation of GA then LS. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:667-674 [Conf]
  103. 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. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:675-682 [Conf]
  104. Antony W. Iorio, Xiaodong Li
    Rotated test problems for assessing the performance of multi-objective optimization algorithms. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:683-690 [Conf]
  105. Antony W. Iorio, Xiaodong Li
    Incorporating directional information within a differential evolution algorithm for multi-objective optimization. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:691-698 [Conf]
  106. Michael Lawrence
    Multiobjective genetic algorithms for materialized view selection in OLAP data warehouses. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:699-706 [Conf]
  107. Christian Grimme, Karlheinz Schmitt
    Inside a predator-prey model for multi-objective optimization: a second study. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:707-714 [Conf]
  108. Dipti Srinivasan, Lily Rachmawati
    An efficient multi-objective evolutionary algorithm with steady-state replacement model. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:715-722 [Conf]
  109. Julio J. Valdés, Alan J. Barton
    Multiobjective evolutionary optimization for visual data mining with virtual reality spaces: application to Alzheimer gene expressions. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:723-730 [Conf]
  110. Ying Zhang, Raffi Kamalian, Alice M. Agogino, Carlo H. Séquin
    Design synthesis of microelectromechanical systems using genetic algorithms with component-based genotype representation. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:731-738 [Conf]
  111. Hisao Ishibuchi, Yusuke Nojima, Kaname Narukawa, Tsutomu Doi
    Incorporation of decision maker's preference into evolutionary multiobjective optimization algorithms. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:741-742 [Conf]
  112. Mark P. Kleeman, Gary B. Lamont
    The multi-objective constrained assignment problem. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:743-744 [Conf]
  113. Kangshun Li, Xuezhi Yue, Lishan Kang, Zhangxin Chen
    A new multi-objective evolutionary algorithm for solving high complex multi-objective problems. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:745-746 [Conf]
  114. Ingo Oesterreicher, Andreas Mitschele, Frank Schlottmann, Detlef Seese
    Comparison of multi-objective evolutionary algorithms in optimizing combinations of reinsurance contracts. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:747-748 [Conf]
  115. Lily Rachmawati, Dipti Srinivasan
    A multi-objective evolutionary algorithm with weighted-sum niching for convergence on knee regions. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:749-750 [Conf]
  116. Varun Aggarwal, Wesley O. Jin, Una-May O'Reilly
    Filter approximation using explicit time and frequency domain specifications. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:753-760 [Conf]
  117. Geoffrey A. Hollinger, David A. Gwaltney
    Evolutionary design of fault-tolerant analog control for a piezoelectric pipe-crawling robot. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:761-768 [Conf]
  118. Pierre-André Mudry, Guillaume Zufferey, Gianluca Tempesti
    A dynamically constrained genetic algorithm for hardware-software partitioning. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:769-776 [Conf]
  119. Sami J. Habib, Alice C. Parker
    Exploring network topology evolution through evolutionary computations. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:779-780 [Conf]
  120. Clément Chion, Luis E. Da Costa, Jacques-André Landry
    Genetic programming for agricultural purposes. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:783-790 [Conf]
  121. Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano
    Improving cooperative GP ensemble with clustering and pruning for pattern classification. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:791-798 [Conf]
  122. Jason M. Daida
    Characterizing the dynamics of symmetry breaking in genetic programming. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:799-806 [Conf]
  123. Tuan Hao Hoang, Nguyen Xuan Hoai, Nguyen Thi Hien, Robert I. McKay, Daryl Essam
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    GECCO, 2006, pp:1645-1652 [Conf]
  245. 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. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1653-1660 [Conf]
  246. Bogdan Filipic, Iztok Fister, Marjan Mernik
    Evolutionary search for optimal combinations of markers in clothing manufacturing. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1661-1666 [Conf]
  247. Hilmi Günes Kayacik, Malcolm I. Heywood, A. Nur Zincir-Heywood
    On evolving buffer overflow attacks using genetic programming. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1667-1674 [Conf]
  248. Yaser M. A. Khalifa, O. Salem, A. Shahin
    Cutting stock waste reduction using genetic algorithms. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1675-1680 [Conf]
  249. Nate Kohl, Kenneth O. Stanley, Risto Miikkulainen, Michael E. Samples, Rini Sherony
    Evolving a real-world vehicle warning system. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1681-1688 [Conf]
  250. Rajeev Kumar, Pramod Kumar Singh, Bhargab B. Bhattacharya
    Biobjective evolutionary and heuristic algorithms for intersection of geometric graphs. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1689-1696 [Conf]
  251. Greg Lee, Vadim Bulitko
    Genetic algorithms for action set selection across domains: a demonstration. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1697-1704 [Conf]
  252. Yong Liang, Kwong-Sak Leung, Tony Shu Kam Mok
    Automating the drug scheduling with different toxicity clearance in cancer chemotherapy via evolutionary computation. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1705-1712 [Conf]
  253. Monte Lunacek, Darrell Whitley, Indrakshi Ray
    A crossover operator for the k- anonymity problem. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1713-1720 [Conf]
  254. Steven Manos, Leon Poladian, Peter J. Bentley, Maryanne Large
    A genetic algorithm with a variable-length genotype and embryogeny for microstructured optical fibre design. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1721-1728 [Conf]
  255. Songsak Chusanapiputt, Dulyatat Nualhong, Sujate Jantarang, Sukumvit Phoomvuthisarn
    Selective self-adaptive approach to ant system for solving unit commitment problem. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1729-1736 [Conf]
  256. Gerulf K. M. Pedersen, Zhenyu Yang
    Multi-objective PID-controller tuning for a magnetic levitation system using NSGA-II. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1737-1744 [Conf]
  257. 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. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1745-1752 [Conf]
  258. Yuji Sato, Yosuke Akatsuka, Takenori Nishizono
    Reward allotment in an event-driven hybrid learning classifier system for online soccer games. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1753-1760 [Conf]
  259. Yann Semet, Marc Schoenauer
    On the benefits of inoculation, an example in train scheduling. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1761-1768 [Conf]
  260. 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. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1769-1776 [Conf]
  261. Harish Subramanian, Subramanian Ramamoorthy, Peter Stone, Benjamin Kuipers
    Designing safe, profitable automated stock trading agents using evolutionary algorithms. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1777-1784 [Conf]
  262. Ivan Tanev, Michal Joachimczak, Katsunori Shimohara
    Evolution of driving agent, remotely operating a scale model of a car with obstacle avoidance capabilities. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1785-1792 [Conf]
  263. A. Oduguwa, A. Tiwari, S. Fiorentino, R. Roy
    Multi-objective optimisation of the protein-ligand docking problem in drug discovery. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1793-1800 [Conf]
  264. Haluk Topcuoglu, Murat Ermis
    Genetic algorithms for positioning and utilizing sensors in synthetically generated landscapes. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1801-1808 [Conf]
  265. Klaus Weinert, Andreas Zabel, Heinrich Müller, Petra Kersting
    Optimizing of NC tool paths for five-axis milling using evolutionary algorithms on wavelets. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1809-1816 [Conf]
  266. Wei Yan, Christopher D. Clack
    Behavioural GP diversity for dynamic environments: an application in hedge fund investment. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1817-1824 [Conf]
  267. Toshihiko Yanase, Hitoshi Iba
    Evolutionary motion design for humanoid robots. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1825-1832 [Conf]
  268. Qijun Zhang, Eduardo Reck Miranda
    Evolving musical performance profiles using genetic algorithms with structural fitness. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1833-1840 [Conf]
  269. Haipeng Zhang, Mitsuo Gen
    Effective genetic approach for optimizing advanced planning and scheduling in flexible manufacturing system. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1841-1848 [Conf]
  270. Peter Belford
    Candlestick stock analysis with genetic algorithms. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1851-1852 [Conf]
  271. 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. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1853-1854 [Conf]
  272. Hao Chen, John Clark, Jeremy Jacob
    Human competitive security protocols synthesis. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1855-1856 [Conf]
  273. David de la Fuente, Alejandro Garrido, Jaime Laviada, Alberto Gomez
    Genetic algorithms to optimise the time to make stock market investment. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1857-1858 [Conf]
  274. David Delgado, David Vidal, German Hernandez
    Evolutionary design of pseudorandom sequence generators based on cellular automata and its applicability in current cryptosystems. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1859-1860 [Conf]
  275. César Estébanez, Julio César Hernández Castro, Arturo Ribagorda, Pedro Isasi
    Evolving hash functions by means of genetic programming. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1861-1862 [Conf]
  276. Tao-yang Fu, Tsu-yu Wu, Chin-te Chen, Kai-chu Wu, Ying-Ping Chen
    Evolutionary interactive music composition. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1863-1864 [Conf]
  277. Miguel A. Gomez, Carmen X. Flores, Maria A. Osorio
    Hybrid search for cardinality constrained portfolio optimization. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1865-1866 [Conf]
  278. 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. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1867-1868 [Conf]
  279. Satoshi Ikehira, Hajime Kimura
    Multi-objective genetic algorithms for pipe arrangement design. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1869-1870 [Conf]
  280. Clayton Matthew Johnson, Anu Bhat, William C. Thibault
    An evolutionary approach to camera-based projector calibration. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1871-1872 [Conf]
  281. Yaser M. A. Khalifa, Mohamed Basel Al-Mourad
    Autonomous evolutionary music composer. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1873-1874 [Conf]
  282. Yiming Li, Cheng-Kai Chen, Yen-Yu Cho
    A unified optimization framework for microelectronics industry. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1875-1876 [Conf]
  283. Robert M. Patton, Thomas E. Potok
    Characterizing large text corpora using a maximum variation sampling genetic algorithm. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1877-1878 [Conf]
  284. Neil Urquhart
    Real-time construction of aircraft landing schedules using an evolutionary algorithm. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1879-1880 [Conf]
  285. Joseph Vannucci, Deon Garrett, Dipankar Dasgupta
    Comparative analysis of the sailor assignment problem. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1881-1882 [Conf]
  286. Salah Bouktif, Giuliano Antoniol, Ettore Merlo, Markus Neteler
    A novel approach to optimize clone refactoring activity. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1885-1892 [Conf]
  287. Salah Bouktif, Houari A. Sahraoui, Giuliano Antoniol
    Simulated annealing for improving software quality prediction. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1893-1900 [Conf]
  288. Myra Cohen, Shiu Beng Kooi, Witawas Srisa-an
    Clustering the heap in multi-threaded applications for improved garbage collection. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1901-1908 [Conf]
  289. Olaf Seng, Johannes Stammel, David Burkhart
    Search-based determination of refactorings for improving the class structure of object-oriented systems. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1909-1916 [Conf]
  290. Marouane Tlili, Stefan Wappler, Harmen Sthamer
    Improving evolutionary real-time testing. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1917-1924 [Conf]
  291. Stefan Wappler, Joachim Wegener
    Evolutionary unit testing of object-oriented software using strongly-typed genetic programming. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1925-1932 [Conf]
  292. Jitian Xiao, Chiou Peng Lam, Huaizhong Li, Jun Wang
    Reformulation of the generation of conformance testing sequences to the asymmetric travelling salesman problem. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1933-1940 [Conf]
  293. Yuan Zhan, John A. Clark
    The state problem for test generation in Simulink. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1941-1948 [Conf]
  294. Mark Harman, Alexandros Skaliotis, Kathleen Steinhöfel, Paul Baker
    Search--based approaches to the component selection and prioritization problem. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1951-1952 [Conf]
  295. Yoonsik Cheon, Myoung Kim
    A specification-based fitness function for evolutionary testing of object-oriented programs. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1953-1954 [Conf]
  296. Johannes Mayer
    Towards effective adaptive random testing for higher-dimensional input domains. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1955-1956 [Conf]
  297. C. L. Simons, Ian C. Parmee
    Single and multi-objective genetic operators in object-oriented conceptual software design. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1957-1958 [Conf]
  298. H. Turgut Uyar, A. Sima Etaner-Uyar, A. Emre Harmanci
    Pairwise sequence comparison for fitness evaluation in evolutionary structural software testing. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1959-1960 [Conf]
  299. Joseph Lewis, Chris Ansoff
    Tuning experiments with an adaptive computational framework. [Citation Graph (0, 0)][DBLP]
    GECCO, 2006, pp:1961-1962 [Conf]
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