Dafo, a multi-agent framework for decomposable functions optimization

Authors:
Grégoire Danoy;Pascal Bouvry;Olivier Boissier
Affiliations:
Faculty of Sciences, Technology and Communications, Luxembourg;Faculty of Sciences, Technology and Communications, Luxembourg;ENS Mines, Saint-Etienne
Venue:
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part IV
Year:
2005

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Abstract

This paper introduces Dafo, a new multi-agent framework for evolutionary optimization relying on a competitive coevolutionary genetic algorithm, aka LCGA (Loosely Coupled Genetic Algorithm). We describe our solution, discuss of the potential advantages of using an agent based approach and present some results on a real case study: i.e. Inventory Control Parameter (ICP) optimization problem.