A Novel Modified Electromagnetism-like Algorithm for Solving Constrained Optimization Problem

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Abstract The original Electromagnetism-like mechanism (EM) is a meta-heuristic algorithm utilizing an attraction-repulsion mechanism (called as force F) to move sample points towards optimality in global optimization problems. To solve the potential problem of stagnation happening in the original algorithm, new searching procedures were proposed in modified algorithm to determine the next search direction and step length of points in the paper. Compared to the original algorithm, tri-factors of the best historical visited positions of each point, best point and total force F were considered in the improved searching procedures. Moreover, the feasibility and dominance (FAD) rules were incorporated to extend the proposed algorithm to solve constrained optimization problem. Finally, Preliminary experiments verified the effectiveness of the proposed algorithm.

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