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EC
2008
120views ECommerce» more  EC 2008»
13 years 5 months ago
Genetic Algorithms with Memory- and Elitism-Based Immigrants in Dynamic Environments
In recent years the genetic algorithm community has shown a growing interest in studying dynamic optimization problems. Several approaches have been devised. The random immigrants...
Shengxiang Yang
EVOW
2007
Springer
13 years 11 months ago
Genetic Algorithms with Elitism-Based Immigrants for Changing Optimization Problems
Abstract. Addressing dynamic optimization problems has been a challenging task for the genetic algorithm community. Over the years, several approaches have been developed into gene...
Shengxiang Yang
GECCO
2005
Springer
163views Optimization» more  GECCO 2005»
13 years 10 months ago
Memory-based immigrants for genetic algorithms in dynamic environments
Investigating and enhancing the performance of genetic algorithms in dynamic environments have attracted a growing interest from the community of genetic algorithms in recent year...
Shengxiang Yang
GECCO
2006
Springer
220views Optimization» more  GECCO 2006»
13 years 8 months ago
A comparative study of immune system based genetic algorithms in dynamic environments
Diversity and memory are two major mechanisms used in biology to keep the adaptability of organisms in the everchanging environment in nature. These mechanisms can be integrated i...
Shengxiang Yang
CEC
2005
IEEE
13 years 10 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