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Agent-Based Natural Domain Modeling for Cooperative Continuous Optimization.

, , , and . ICCCI, volume 8083 of Lecture Notes in Computer Science, page 437-446. Springer, (2013)

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Auto-organisation d'agents embarqués pour l'apprentissage par démonstration : principes et expérimentations (présentation courte)., , , and . JFSMA, page 91-100. Cépaduès Éditions, (2015)Un collectif d'agents fourmis (démonstration)., , and . JFIADSMA, page 245-248. Hermès Lavoisier Editions, (2000)Extreme Sensitive Robotic - A Context-Aware Ubiquitous Learning., , , , and . ICAART (1), page 242-248. SciTePress, (2015)Principles and Experimentations of Self-organizing Embedded Agents Allowing Learning from Demonstration in Ambient Robotic., , , and . ANT/SEIT, volume 52 of Procedia Computer Science, page 194-201. Elsevier, (2015)Principles and experimentations of self-organizing embedded agents allowing learning from demonstration in ambient robotics., , , and . Future Gener. Comput. Syst., (2016)A Novel Approach to MDO using an Adaptive Multi-Agent System., , , , and . ICAART (2), page 457-460. SciTePress, (2013)Experiencing Self-adaptive MAS for Real-Time Decision Support Systems., , , and . PAAMS, volume 55 of Advances in Intelligent and Soft Computing, page 302-309. Springer, (2009)STAFF : un système multi-agent adaptatif en prévision de crues., , , and . JFSMA, page 87-98. Hermès Lavoisier Editions, (2002)A Natural Formalism and a Multi-agent Algorithm for Integrative Multidisciplinary Design Optimization., , , and . IAT, page 146-154. IEEE Computer Society, (2013)978-1-4799-2902-3.Agent-Based Natural Domain Modeling for Cooperative Continuous Optimization., , , and . ICCCI, volume 8083 of Lecture Notes in Computer Science, page 437-446. Springer, (2013)