High-performance computing and networking vol:1401 pages:843-853
In this paper, we present a multi-agent approach to modelling genetic algorithms (GAs). GAs let a population of chromosomes evolve in order to optimise a given objective function. We model chromosomes as autonomous agents, that are themselves responsible for applying the genetic operators. Moreover, they are further enhanced by adding local search and adaptive behaviour. These extensions lead to the concept of Genetic Search Agents.