Applications in Multiobjective, Constrained and Minimax Problems

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Author(s): E. Parsopoulos Konstantinos (University of Ioannina, Greece)and N. Vrahatis Michael (University of Patras, Greece)
Copyright: 2010
Pages: 24
Source title: Particle Swarm Optimization and Intelligence: Advances and Applications
Source Author(s)/Editor(s): Konstantinos E. Parsopoulos (University of Ioannina, Greece)and Michael N. Vrahatis (University of Patras, Greece)
DOI: 10.4018/978-1-61520-666-7.ch011

Keywords: Artificial Intelligence / Collective Intelligence / Computer Science & IT / Information Science Reference

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Abstract

This chapter is devoted to the application of PSO and its variants on three very interesting problem types, namely (a) multiobjective, (b) constrained, and (c) minimax optimization problems. The biggest part of the chapter refers to the multiobjective case, since there is a huge bibliography with a rich assortment of PSO approaches developed to date. Different algorithm types are presented and briefly discussed, focusing on the most influential approaches.

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Applications in Multiobjective, Constrained and Minimax Problems

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