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A novel approach to MDO using an adaptive multi-agent system

Jorquera, Tom and Georgé, Jean-Pierre and Gleizes, Marie-Pierre and Régis, Christine and Glize, Pierre A novel approach to MDO using an adaptive multi-agent system. (2013) In: 5th International Conference on Agents and Artificial Intelligence - ICAART 2013, 15 February 2013 - 18 February 2013 (Barcelona, Spain).

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Abstract

MultiDisciplinary Optimization (MDO) problems represent one of the hardest and broadest domains of continuous optimization, often too complex to be tackled by classical optimization methods. We propose an original approach for taking into account this complexity using a self-adaptive multi-agent system where each elements of the problem become an agent in charge of a small part of the problem.

Item Type:Conference or Workshop Item (Paper)
Additional Information:The contribution was presented at ICCART2013 : Http://www.icaart.org/?y=2013
HAL Id:hal-01168733
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Laboratory name:
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Deposited By: IRIT IRIT
Deposited On:08 Jun 2015 12:09

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