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

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.
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https://hal.archives-ouvertes.fr/hal-01168733
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Submitted on : Friday, June 26, 2015 - 2:40:20 PM
Last modification on : Thursday, March 18, 2021 - 2:22:01 PM
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  • HAL Id : hal-01168733, version 1
  • OATAO : 12922

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Tom Jorquera, Jean-Pierre Georgé, Marie-Pierre Gleizes, Christine Régis, Pierre Glize. A novel approach to MDO using an adaptive multi-agent system. 5th International Conference on Agents and Artificial Intelligence - ICAART 2013, Feb 2013, Barcelona, Spain. pp. 457-460. ⟨hal-01168733⟩

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