Experimental Study on Bound Handling Techniques for Multi-objective Particle Swarm Optimization
نویسندگان
چکیده
Many real world optimization scenarios impose certain limitations, in terms of constraints and bounds, on various factors affecting the problem. In this paper we formulate several methods for bound handling of decision variables involved in solving a multi-objective optimization problem using particle swarm optimization algorithm. We further compare the performance of these methods on different 2-objective test problems.
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تاریخ انتشار 2015