Linkage in Evolutionary Computation 2008

Models and Theories

• Josef Schwarz, Jirí Jaros:
  Parallel Bivariate Marginal Distribution Algorithm with Probability Model Migration. 3-23
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• Nan Ding, Shude Zhou:
  Linkages Detection in Histogram-Based Estimation of Distribution Algorithm. 25-40
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• Zbigniew Skolicki:
  Linkage in Island Models. 41-60
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• Minqiang Li, David E. Goldberg, Kumara Sastry, Tian-Li Yu:
  Real-Coded ECGA for Solving Decomposable Real-Valued Optimization Problems. 61-86
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• Cláudio F. Lima, Martin Pelikan, David E. Goldberg, Fernando G. Lobo, Kumara Sastry, Mark Hauschild:
  Linkage Learning Accuracy in the Bayesian Optimization Algorithm. 87-107
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• Carlos Echegoyen, Roberto Santana, José Antonio Lozano, Pedro Larrañaga:
  The Impact of Exact Probabilistic Learning Algorithms in EDAs Based on Bayesian Networks. 109-139
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• David Jonathan Coffin, Robert E. Smith:
  Linkage Learning in Estimation of Distribution Algorithms. 141-156
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Operators and Frameworks

• Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama:
  Parallel GEAs with Linkage Analysis over Grid. 159-187
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• Philipp Rohlfshagen, John A. Bullinaria:
  Identification and Exploitation of Linkage by Means of Alternative Splicing. 189-223
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• Leonardo R. Emmendorfer, Aurora Pozo:
  A Clustering-Based Approach for Linkage Learning Applied to Multimodal Optimization. 225-248
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• Maroun Bercachi, Philippe Collard, Manuel Clergue, Sébastien Vérel:
  Studying the Effects of Dual Coding on the Adaptation of Representation for Linkage in Evolutionary Algorithms. 249-284
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• Ramin Halavati, Saeed Bagheri Shouraki:
  Symbiotic Evolution to Avoid Linkage Problem. 285-314
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• Thomas Goth, Chia-Ti Tsai, Fu-Tien Chiang, Clare Bates Congdon:
  EpiSwarm, a Swarm-Based System for Investigating Genetic Epistasis. 315-334
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• Pier Luca Lanzi, Luigi Nichetti, Kumara Sastry, Davide Voltini, David E. Goldberg:
  Real-Coded Extended Compact Genetic Algorithm Based on Mixtures of Models. 335-358
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Applications

• Xiao-Bing Hu, Ezequiel A. Di Paolo:
  Genetic Algorithms for the Airport Gate Assignment: Linkage, Representation and Uniform Crossover. 361-387
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• Gualtiero Colombo, Stuart M. Allen:
  A Decomposed Approach for the Minimum Interference Frequency Assignment. 389-417
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• Amitay Isaacs, Tapabrata Ray, Warren Smith:
  Set Representation and Multi-parent Learning within an Evolutionary Algorithm for Optimal Design of Trusses. 419-439
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• Miwako Tsuji, Masaharu Munetomo, Kiyoshi Akama:
  A Network Design Problem by a GA with Linkage Identification and Recombination for Overlapping Building Blocks. 441-459
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• Corie L. Cobb, Ying Zhang, Alice M. Agogino, Jennifer Mangold:
  Knowledge-Based Evolutionary Linkage in MEMS Design Synthesis. 461-483
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