77 search results - page 2 / 16 » Memory-based immigrants for genetic algorithms in dynamic en... |
CEC
2005
IEEE
13 years 10 months ago
2005
IEEE
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...
CHINAF
2011
2011
Immigrant schemes for evolutionary algorithms in dynamic environments: Adapting the replacement rate
12 years 8 months ago
One approach for evolutionary algorithms (EAs) to address dynamic optimization problems (DOPs) is to maintain diversity of the population via introducing immigrants. So far all imm...
CEC
2005
IEEE
13 years 10 months ago
2005
IEEE
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...
CEC
2008
IEEE
13 years 11 months ago
2008
IEEE
— In this paper, a multi-agent based evolutionary algorithm (MAEA) is introduced to solve dynamic optimization problems. The agents simulate living organism features and co-evolv...
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
Evolutionary algorithms (EAs) are widely used to deal with optimization problems in dynamic environments (DE) [3]. When using EAs to solve DE problems, we are usually interested i...