Abstract
A cooperative multiobjective particle swarm algorithm called vector evolved multiobjective particle swarm optimization (VEMOPSO) algorithm is proposed in this chapter. The algorithm consists of multiple subswarms which connect each other with the ring topology. Each subswarm is designed to optimize one of the objectives, but the update of its particles is performed based on species seeds from neighbor subswarms. When compared with some multiobjective optimization algorithms, the simulation results indicate that the proposed algorithm has a much better performance.
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Acknowledgments
This research was supported by the Specialized Research Fund for the Doctoral Program of Higher Education under grant No. 20100095120016, and the National Natural Science Funds of China under grant No. 61005089.
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Zhang, Y., Gong, DW., Qi, CL. (2012). Vector Evolved Multiobjective Particle Swarm Optimization Algorithm. In: Chen, R. (eds) 2011 International Conference in Electrics, Communication and Automatic Control Proceedings. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-8849-2_38
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DOI: https://doi.org/10.1007/978-1-4419-8849-2_38
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