SUNConferences, Computers and Industrial Engineering 42

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An Improved Electromagnetism-like Algorithm for Global Optimization
Javid Jouzdani, Farnaz Barzinpour, Mohammad Fathian

Last modified: 2012-06-18

Abstract


Global optimization has been an area of interest for researchers for many years and it is gaining more and more attention due to constant increase of complexity and difficulty of real-life optimization problems. In this paper an improved electromagnetism-like algorithm for global optimization which is based on an attraction-repulsion mechanism of different particle types to move the particles towards the optimum solution. The proposed method may be used either as a stand-alone algorithm or as a part of a hybrid algorithm. Some test results on nonlinear problems are presented. The results show that the algorithm yields more satisfactory results than previously proposed methods of this kind.

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