Dafo, a Multi-agent Framework for Decomposable Functions Optimization

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.

• Type: Conference
• Year: 2005
• Where: KES
• Authors: Grégoire Danoy, Pascal Bouvry, Olivier Boissier
• Keywords: Coevolutionary Genetic Algorithm, Genetic Algorithm, KES 2005, Paper Introduces Dafo