A Swarm Intelligence Method Combined to Evolutionary Game Theory Applied to the Resources Allocation Problem
Author:
Affiliation:
1. MBDA Missile Systems-France, France
2. École Internationale des Sciences du Traitement de l’Information (EISTI), France
3. University Paris-Est Créteil (UPEC), France
4. MBDA Missile Systems -France, France
Abstract
Publisher
IGI Global
Subject
Artificial Intelligence,Computational Theory and Mathematics,Computer Science Applications
Reference28 articles.
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2. Badamchizadeh, M., & Madani, K. (2010). Applying modified discrete particle swarm optimization algorithm and genetic algorithm for system identification. In Proceedings of the International Conference on Computer and Automation Engineering (Vol. 5, pp. 354-358).
3. Chio, C. D., Chio, P. D., & Giacobini, M. (2008). An evolutionary game-theoretical approach to particle swarm optimisation. In Proceedings of the Conference on Applications of Evolutionary Computing (pp. 575-584).
4. Discrete particle swarm optimization, illustrated by the travelling salesman problem.;M.Clerc;New Optimization Techniques in Engineering,2004
5. Clerc, M., & Siarry, P. (2004). Une nouvelle métaheuristique pour l'optimisation difficile: la méthode des essaims particulaires. Journal sur l'enseignement des sciences et technologies de l'information et des systèmes, 3-7, 1-13.
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