Dafo, a Multi-agent Framework for Decomposable Functions Optimization

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.
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https://hal-emse.ccsd.cnrs.fr/emse-00680394
Contributor : Florent Breuil <>
Submitted on : Monday, March 19, 2012 - 1:31:08 PM
Last modification on : Thursday, October 17, 2019 - 12:35:42 PM

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Gregoire Danoy, Pascal Bouvry, Olivier Boissier. Dafo, a Multi-agent Framework for Decomposable Functions Optimization. Khosla, Rajiv : Howlett, Robert : Jain, Lakhmi. Knowledge-Based Intelligent Information and Engineering Systems, Springer Berlin / Heidelberg, p 906 - 906, 2005, Lecture Notes in Computer Science, ⟨10.1007/11554028_87⟩. ⟨emse-00680394⟩

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