Abstract
This paper presents a new variant of Particle Swarm Optimization algorithm named QPSO for solving global optimization problems. QPSO is an integrated algorithm making use of a newly defined, multiparent, quadratic crossover operator in the Basic Particle Swarm Optimization (BPSO) algorithm. The comparisons of numerical results show that QPSO outperforms BPSO algorithm in all the twelve cases taken in this study.
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Pant, M., Thangaraj, R., Abraham, A. (2007). A New PSO Algorithm with Crossover Operator for Global Optimization Problems. In: Corchado, E., Corchado, J.M., Abraham, A. (eds) Innovations in Hybrid Intelligent Systems. Advances in Soft Computing, vol 44. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74972-1_29
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DOI: https://doi.org/10.1007/978-3-540-74972-1_29
Publisher Name: Springer, Berlin, Heidelberg
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