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Agent-Based Natural Domain Modeling for Cooperative Continuous Optimization

Tom Jorquera 1 Jean-Pierre Georgé 1 Marie-Pierre Gleizes 1 Christine Régis 1
1 IRIT-SMAC - Systèmes Multi-Agents Coopératifs
IRIT - Institut de recherche en informatique de Toulouse
Abstract : While multi-agent systems have been successfully applied to combinatorial optimization, very few works concern their applicability to continuous optimization problems. In this article we propose a framework for modeling a continuous optimization problems as multi-agent system,which we call NDMO, by representing the problem as an agent graph, and complemented with optimization solving behaviors. Some of the results we obtained with our implementation on several continuous optimization problems are presented.
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Submitted on : Wednesday, September 23, 2015 - 10:31:25 AM
Last modification on : Friday, June 19, 2020 - 3:35:25 AM
Long-term archiving on: : Tuesday, December 29, 2015 - 8:56:07 AM

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  • HAL Id : hal-01202521, version 1
  • OATAO : 12858

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Tom Jorquera, Jean-Pierre Georgé, Marie-Pierre Gleizes, Christine Régis. Agent-Based Natural Domain Modeling for Cooperative Continuous Optimization. 5th International Conference on Computational Collective Intelligence Technologies and Applications (ICCCI 2013), Sep 2013, Craiova, Romania. pp. 1-10. ⟨hal-01202521⟩

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