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» Coevolutionary Convergence to Global Optima
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GECCO
2005
Springer
138views Optimization» more  GECCO 2005»
14 years 22 days ago
Artificial immune system for solving generalized geometric problems: a preliminary results
Generalized geometric programming (GGP) is an optimization method in which the objective function and constraints are nonconvex functions. Thus, a GGP problem includes multiple lo...
Jui-Yu Wu, Yun-Kung Chung
FLAIRS
2003
13 years 8 months ago
Sample Complexity of Real-Coded Evolutionary Algorithms
Researchers studying Evolutionary Algorithms and their applications have always been confronted with the sample complexity problem. The relationship between population size and gl...
Jian Zhang 0007, Xiaohui Yuan, Bill P. Buckles
CEC
2008
IEEE
14 years 1 months ago
The population dynamics of Differential Evolution: A mathematical model
— Differential Evolution (DE) is well known as a simple and efficient algorithm for global optimization over continuous spaces. This article provides a simple mathematical model ...
Sambarta Dasgupta, Arijit Biswas, Swagatam Das, Aj...
PPSN
2010
Springer
13 years 5 months ago
Using Co-solvability to Model and Exploit Synergetic Effects in Evolution
Abstract. We introduce, analyze, and experimentally examine co-solvability, an ability of a solution to solve a pair of fitness cases (tests). Based on this concept, we devise a co...
Krzysztof Krawiec, Pawel Lichocki
JMLR
2008
92views more  JMLR 2008»
13 years 7 months ago
Theoretical Advantages of Lenient Learners: An Evolutionary Game Theoretic Perspective
This paper presents the dynamics of multiple learning agents from an evolutionary game theoretic perspective. We provide replicator dynamics models for cooperative coevolutionary ...
Liviu Panait, Karl Tuyls, Sean Luke