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Publication search results
found 25 matches
- 2005
- Ying-Ping Chen, David E. Goldberg:
Convergence Time for the Linkage Learning Genetic Algorithm. Evol. Comput. 13(3): 279-302 (2005) - Lauren M. Clevenger, Lauren Ferguson, William E. Hart:
A Filter-Based Evolutionary Algorithm for Constrained Optimization. Evol. Comput. 13(3): 329-352 (2005) - Peter Dauscher, Thomas Uthmann:
Self-Organized Modularization in Evolutionary Algorithms. Evol. Comput. 13(3): 303-328 (2005) - Kalyanmoy Deb, Manikanth Mohan, Shikhar Mishra:
Evaluating the epsilon-Domination Based Multi-Objective Evolutionary Algorithm for a Quick Computation of Pareto-Optimal Solutions. Evol. Comput. 13(4): 501-525 (2005) - Dario Floreano, Mototaka Suzuki, Claudio Mattiussi:
Active Vision and Receptive Field Development in Evolutionary Robots. Evol. Comput. 13(4): 527-544 (2005) - Marcus Gallagher, Marcus R. Frean:
Population-Based Continuous Optimization, Probabilistic Modelling and Mean Shift. Evol. Comput. 13(1): 29-42 (2005) - Yong Gao, Joseph C. Culberson:
Space Complexity of Estimation of Distribution Algorithms. Evol. Comput. 13(1): 125-143 (2005) - Hugo de Garis:
Conference Review: Evolvable Hardware 2005. Evol. Comput. 13(4): 545-550 (2005) - Simon M. Garrett:
How Do We Evaluate Artificial Immune Systems? Evol. Comput. 13(2): 145-177 (2005) - Matthew R. Glickman, Justin Balthrop, Stephanie Forrest:
A Machine Learning Evaluation of an Artificial Immune System. Evol. Comput. 13(2): 179-212 (2005) - Jianjun Hu, Erik D. Goodman, Kisung Seo, Zhun Fan, Rondal Rosenberg:
The Hierarchical Fair Competition (HFC) Framework for Sustainable Evolutionary Algorithms. Evol. Comput. 13(2): 241-277 (2005) - Thomas Jansen, Kenneth A. De Jong, Ingo Wegener:
On the Choice of the Offspring Population Size in Evolutionary Algorithms. Evol. Comput. 13(4): 413-440 (2005) - Pedro Larrañaga, José Antonio Lozano:
Editorial Introduction Special Issue on Estimation of Distribution Algorithms. Evol. Comput. 13(1) (2005) - Laura A. McLay, David E. Goldberg:
Efficient Genetic Algorithms Using Discretization Scheduling. Evol. Comput. 13(3): 353-385 (2005) - Heinz Mühlenbein, Robin Höns:
The Estimation of Distributions and the Minimum Relative Entropy Principle. Evol. Comput. 13(1): 1-27 (2005) - Mihai Oltean:
Evolving Evolutionary Algorithms Using Linear Genetic Programming. Evol. Comput. 13(3): 387-410 (2005) - 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. Evol. Comput. 13(1): 43-66 (2005) - Günther R. Raidl, Jens Gottlieb:
Empirical Analysis of Locality, Heritability and Heuristic Bias in Evolutionary Algorithms: A Case Study for the Multidimensional Knapsack Problem. Evol. Comput. 13(4): 441-475 (2005) - Roberto Santana:
Estimation of Distribution Algorithms with Kikuchi Approximations. Evol. Comput. 13(1): 67-97 (2005) - Marc Schoenauer:
Editorial Introduction. Evol. Comput. 13(1) (2005) - Marc Schoenauer:
Editorial Introduction. Evol. Comput. 13(2) (2005) - Marc Schoenauer:
Editorial Introduction. Evol. Comput. 13(3) (2005) - Jonathan L. Shapiro:
Drift and Scaling in Estimation of Distribution Algorithms. Evol. Comput. 13(1): 99-123 (2005) - Marco Tomassini, Leonardo Vanneschi, Philippe Collard, Manuel Clergue:
A Study of Fitness Distance Correlation as a Difficulty Measure in Genetic Programming. Evol. Comput. 13(2): 213-239 (2005) - Allan Tucker, Jason Crampton, Stephen Swift:
RGFGA: An Efficient Representation and Crossover for Grouping Genetic Algorithms. Evol. Comput. 13(4): 477-499 (2005)
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