Abstract
An improved particle swarm optimization (IPSO) is proposed where a general center particle is incorporated into particle swarm optimization (PSO) with linearly decreasing inertia weight factor in this paper. The general center particle is formed by the center of the best-found positions of all particles in IPSO. It has potential capacity to get good positions and guide the search direction of the whole swarm because of frequently appearance as the best particle of the swarm. Numerical results and comparison on a set of benchmark optimization functions show the proposed algorithm is a promising optimization method in obtaining better solutions.
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© 2013 Springer-Verlag Berlin Heidelberg
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Tang, K., Liu, B., Zhao, J. (2013). An Improved Particle Swarm Optimization for Complex Optimization Problems. In: Sun, C., Fang, F., Zhou, ZH., Yang, W., Liu, ZY. (eds) Intelligence Science and Big Data Engineering. IScIDE 2013. Lecture Notes in Computer Science, vol 8261. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-42057-3_109
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DOI: https://doi.org/10.1007/978-3-642-42057-3_109
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-42056-6
Online ISBN: 978-3-642-42057-3
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