Abstract
Particle swarm optimization (PSO) is preponderantly used to find solution for continuous optimization problems, has the advantage of being cheaper and quicker. This paper introduces a new Disc-based particle swarm optimization (DPSO) algorithm to solve the complex optimization problems. The availability of the introduced algorithms is validated statistically on several benchmark problems and also compared with the existing versions of PSO.
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Yadav, A., Deep, K. (2012). A New Disc Based Particle Swarm Optimization. In: Deep, K., Nagar, A., Pant, M., Bansal, J. (eds) Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011. Advances in Intelligent and Soft Computing, vol 130. Springer, India. https://doi.org/10.1007/978-81-322-0487-9_3
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DOI: https://doi.org/10.1007/978-81-322-0487-9_3
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