Titlebook: Swarm and Evolutionary computation; International Sympos Leszek Rutkowski,Marcin Korytkowski,Jacek M. Zurad Conference proceedings 2012 Spr

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Hybridization of Differential Evolution and Particle Swarm Optimization in a New Algorithm: DEPSO-2Stwo kinds of swarms, a main one that gathers the best particles of auxiliary ones. In this paper, we present a new variant of PSO-2S, called DEPSO-2S, which is a hybridization of DE and PSO. DE was used, in this variant, to construct the main swarm. We analyze the performance of the proposed approac

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Monte-Carlo Swarm Policy Searchunities. A classic paradigm for handling such problems is provided by Markov Decision Processes. However, the resulting underlying optimization problem is difficult to solve. In this paper, we explore the possible use of Particle Swarm Optimization to learn optimal controllers and show through some

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A Coevolutionary MiniMax Algorithm for the Detection of Nash EquilibriumWe discuss the robust theoretical principles of the proposed algorithm. The algorithm is illustrated on examples in economics, transportation and deregulated electricity markets. Numerical experience demonstrates that the algorithm is a useful tool for the study of Nash Equilibrium problems.

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