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8

KES
2005
Springer

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Dafo, a Multi-agent Framework for Decomposable Functions Optimization

13 years 9 months ago

Dafo, a Multi-agent Framework for Decomposable Functions Optimization

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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.

Grégoire Danoy, Pascal Bouvry, Olivier Bois

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Coevolutionary Genetic Algorithm | Genetic Algorithm | KES 2005 | Paper Introduces Dafo |

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Added	28 Jun 2010
Updated	28 Jun 2010
Type	Conference
Year	2005
Where	KES
Authors	Grégoire Danoy, Pascal Bouvry, Olivier Boissier

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