A self-adaptive multiagent evolutionary algorithm for electrical machine design

Jean-Laurent Hippolyte, Christelle Bloch, Pascal Chatonnay, Christophe Espanet, Didier Chamagne
2007 Proceedings of the 9th annual conference on Genetic and evolutionary computation - GECCO '07  
This paper presents a self-adaptive algorithm that hybridises evolutionary and multiagent concepts. Each evolutionary individual is implemented as a simple agent capable of reproduction and predation. The transitions between these two states depend on the agent's local environment. Thus, no explicit global process is defined to select neither the mates nor the preys. The convergence of the algorithm emerges from the behaviour of the agents. This brings interesting properties, such as population
more » ... size self-regulation. Two sets of experimental results are provided: a comparison with Saw-Tooth Algorithm [5] and μGA [3] using four classical functions and an optimisation of the efficiency and the weight of an electrical motor. Some possible evolutions and prospects are finally proposed.
doi:10.1145/1276958.1277198 dblp:conf/gecco/HippolyteBCEC07 fatcat:dotsoeaynreodk3ocbu2tryenq