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A Parallel Cooperative Coevolution Evolutionary Algorithm

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3 Author(s)
Chi Cuong Vu ; Dept. of Networking, Vinh Univ., Vinh, Vietnam ; Huu Hung Nguyen ; Lam Thu Bui

Evolutionary algorithms (EAs) have been widely applied to solve many numerical and combinatorial optimization problems. A special paradigm of EAs has been promoted allowing several populations to co-evolve together. During evolution process these populations can be either cooperative or competitive. The cooperative co-evolution evolutionary algorithm (CCEA) has shown a great deal in solving large and complex problems. However, there are limited studies on parallelizing cooperative co-evolution evolutionary algorithms. In this paper, we propose an approach combining CCEA with a synchronous parallel model. The design especially facilitates solving large scale problems. We conducted a preliminary investigation with several experiments on benchmark large scale problems. The experimental results indicated a promising performance of the proposed algorithm on the selected problems.

Published in:

Knowledge and Systems Engineering (KSE), 2011 Third International Conference on

Date of Conference:

14-17 Oct. 2011

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