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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Jorquera, T., Georgé, JP., Gleizes, MP., Régis, C. (2013). Agent-Based Natural Domain Modeling for Cooperative Continuous Optimization. In: Bǎdicǎ, C., Nguyen, N.T., Brezovan, M. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2013. Lecture Notes in Computer Science(), vol 8083. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40495-5_44
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DOI: https://doi.org/10.1007/978-3-642-40495-5_44
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40494-8
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