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GECCO
2004
Springer
122views Optimization» more  GECCO 2004»
15 years 9 months ago
An Improved Diversity Mechanism for Solving Constrained Optimization Problems Using a Multimembered Evolution Strategy
This paper presents an improved version of a simple evolution strategy (SES) to solve global nonlinear optimization problems. As its previous version, the approach does not require...
Efrén Mezura-Montes, Carlos A. Coello Coell...
126
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GECCO
2004
Springer
117views Optimization» more  GECCO 2004»
15 years 9 months ago
Alternative Bloat Control Methods
Abstract. Bloat control is an important aspect of evolutionary computation methods, such as genetic programming, which must deal with genomes of arbitrary size. We introduce three ...
Liviu Panait, Sean Luke
GECCO
2004
Springer
15 years 9 months ago
Limit Cycle Prediction in Multivariable Nonlinear Systems Using Genetic Algorithms
Abstract. This paper presents an intelligent method based on multiuobjective genetic algorithm (MOGA) for prediction of limit cycle in multivariable nonlinear systems. First we add...
Farzan Rashidi, Mehran Rashidi
GECCO
2004
Springer
169views Optimization» more  GECCO 2004»
15 years 9 months ago
Genetic Programming Neural Networks as a Bioinformatics Tool for Human Genetics
The identification of genes that influence the risk of common, complex diseases primarily through interactions with other genes and environmental factors remains a statistical and ...
Marylyn D. Ritchie, Christopher S. Coffey, Jason H...
GECCO
2004
Springer
15 years 9 months ago
Evolving a Roving Eye for Go
Go remains a challenge for artificial intelligence. Currently, most machine learning methods tackle Go by playing on a specific fixed board size, usually smaller than the standa...
Kenneth O. Stanley, Risto Miikkulainen
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