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CEC
2005
IEEE
15 years 3 months ago
A hybrid approach to parameter tuning in genetic algorithms
Abstract- Choosing the best parameter setting is a wellknown important and challenging task in Evolutionary Algorithms (EAs). As one of the earliest parameter tuning techniques, th...
Bo Yuan, Marcus Gallagher
CEC
2005
IEEE
15 years 3 months ago
Memory-enhanced univariate marginal distribution algorithms for dynamic optimization problems
Several approaches have been developed into evolutionary algorithms to deal with dynamic optimization problems, of which memory and random immigrants are two major schemes. This pa...
Shengxiang Yang
CEC
2005
IEEE
15 years 3 months ago
Revisiting genetic selection in the XCS learning classifier system
The XCS Learning Classifier System has traditionally used roulette wheel selection within its genetic algorithm component. Recently, tournament selection has been suggested as prov...
Faten Kharbat, Larry Bull, Mohammed Odeh
CEC
2005
IEEE
15 years 3 months ago
Genetic algorithms with self-organized criticality for dynamic optimization problems
This paper proposes a genetic algorithm (GA) with random immigrants for dynamic optimization problems where the worst individual and its neighbours are replaced every generation. I...
Renato Tinós, Shengxiang Yang
CEC
2005
IEEE
14 years 12 months ago
A new approach to dynamics analysis of genetic algorithms without selection
Abstract- Theoretical analysis of the dynamics of evolutionary algorithms is believed to be very important to understand the search behavior of evolutionary algorithms and to devel...
Tatsuya Okabe, Yaochu Jin, Bernhard Sendhoff