Chaotic Charged System Search with a Feasible-Based Method for Constraint Optimization Problems

Behnaz Nouhi, Siamak Talatahari, H. Kheiri, Carlo Cattani · Mathematical Problems in Engineering · 2013

Recently developed chaotic charged system search was combined to feasible-based method to solve constraint engineering optimization problems. Using chaotic maps into the CSS increases the global search mobility for a better global optimization. In the present method, an improved feasible-based method is utilized to handle the constraints. Some constraint design examples are tested using the new chaotic-based methods, and the results are compared to recognize the most efficient and powerful algorithm.

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