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ORCIDEvolutionary Computation, Volume 13
Volume 13, Number 1, Spring 2005
- Marc Schoenauer:
Editorial Introduction. - Pedro Larrañaga
, José Antonio Lozano:
Editorial Introduction Special Issue on Estimation of Distribution Algorithms. - Heinz Mühlenbein, Robin Höns:
The Estimation of Distributions and the Minimum Relative Entropy Principle. 1-27 - Marcus Gallagher, Marcus R. Frean:
Population-Based Continuous Optimization, Probabilistic Modelling and Mean Shift. 29-42 - José M. Peña, José Antonio Lozano, Pedro Larrañaga:
Globally Multimodal Problem Optimization Via an Estimation of Distribution Algorithm Based on Unsupervised Learning of Bayesian Networks. 43-66 - Roberto Santana:
Estimation of Distribution Algorithms with Kikuchi Approximations. 67-97 - Jonathan L. Shapiro:
Drift and Scaling in Estimation of Distribution Algorithms. 99-123 - Yong Gao, Joseph C. Culberson:
Space Complexity of Estimation of Distribution Algorithms. 125-143
Volume 13, Number 2, Summer 2005
- Marc Schoenauer:
Editorial Introduction. - Simon M. Garrett:
How Do We Evaluate Artificial Immune Systems? 145-177 - Matthew R. Glickman, Justin Balthrop, Stephanie Forrest:
A Machine Learning Evaluation of an Artificial Immune System. 179-212 - Marco Tomassini, Leonardo Vanneschi, Philippe Collard, Manuel Clergue:
A Study of Fitness Distance Correlation as a Difficulty Measure in Genetic Programming. 213-239 - Jianjun Hu, Erik D. Goodman, Kisung Seo, Zhun Fan, Rondal Rosenberg:
The Hierarchical Fair Competition (HFC) Framework for Sustainable Evolutionary Algorithms. 241-277
Volume 13, Number 3, Fall 2005
- Marc Schoenauer:
Editorial Introduction. - Ying-Ping Chen, David E. Goldberg:
Convergence Time for the Linkage Learning Genetic Algorithm. 279-302 - Peter Dauscher, Thomas Uthmann:
Self-Organized Modularization in Evolutionary Algorithms. 303-328 - Lauren M. Clevenger, Lauren Ferguson, William E. Hart:
A Filter-Based Evolutionary Algorithm for Constrained Optimization. 329-352 - Laura A. McLay, David E. Goldberg:
Efficient Genetic Algorithms Using Discretization Scheduling. 353-385 - Mihai Oltean:
Evolving Evolutionary Algorithms Using Linear Genetic Programming. 387-410
Volume 13, Number 4, Winter 2005
- Thomas Jansen, Kenneth A. De Jong, Ingo Wegener:
On the Choice of the Offspring Population Size in Evolutionary Algorithms. 413-440 - Günther R. Raidl, Jens Gottlieb:
Empirical Analysis of Locality, Heritability and Heuristic Bias in Evolutionary Algorithms: A Case Study for the Multidimensional Knapsack Problem. 441-475 - Allan Tucker, Jason Crampton, Stephen Swift:
RGFGA: An Efficient Representation and Crossover for Grouping Genetic Algorithms. 477-499 - Kalyanmoy Deb, Manikanth Mohan, Shikhar Mishra:
Evaluating the epsilon-Domination Based Multi-Objective Evolutionary Algorithm for a Quick Computation of Pareto-Optimal Solutions. 501-525 - Dario Floreano, Mototaka Suzuki, Claudio Mattiussi:
Active Vision and Receptive Field Development in Evolutionary Robots. 527-544 - Hugo de Garis:
Conference Review: Evolvable Hardware 2005. 545-550
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