O LASPEA : Learning Automata - based Strength Pareto Evolutionary Algorithm for Multi - objective Optimization
نویسندگان
چکیده
Multi-objective optimization problems are currently gaining significant attentions from researchers because many real-world optimization problems consist of contradictory objectives. SPEA (Strength Pareto Evolutionary Algorithm) is one of the most successful multi-objective evolutionary algorithms for approximating the Pareto-optimal set for multiobjective optimization problems. In this paper, an improved version of SPEA-II, called LASPEA (Learning Automata-based Strength Pareto Evolutionary Algorithm) is proposed. The proposed algorithm incorporates problem-specific genetic operators and learning automata to improve the behavior of the optimization algorithm. Simulation results demonstrate the efficiency of the LASPEA in terms of convergence and diversity.
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