Towards a Swarm Optimization Algorithm with Logistic Agents.Report as inadecuate

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1 LITIS - Laboratoire d-Informatique, de Traitement de l-Information et des Systèmes

Abstract : Adaptation and self-organization are two main aspects of swarm mechanisms and collective intelligence. We adress here the global question of controlling the coordination of groups of mobile agents in order to achieve optimization processings. We study in this paper a simple case involving -logistic- agents -whose internal decision is governed by a logistic map, that is a discrete parametrized quadratic map- slaved to a stochastic environment through their control parameter. The proposed algorithm enables agents to find local minima in the environment. We show that the adaptation process on the control parameter leads to this local optimization. Applications may be envisaged for multi-objective problems.

Keywords : Swarm Intelligence Reactive Multi-Agent System Multi-objective Optimization Logistic Agent Adaptation Self- organization Decentralized Control

Author: Rodolphe Charrier -



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