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This paper extends a novel numerical multiobjective optimization algorithm, so-called Multiobjective Extremal Optimization (MOEO), to solve the 0/1 multiobjective knapsack problems. The proposed approach is validated by three benchmark problems. The simulation results indicate that the proposed approach is highly competitive with three state-of-the-art multiobjective evolutionary algorithms, i.e.,...
Portfolio optimization plays a critical role in determining portfolio strategies for investors and it is intrinsically a discrete multiobjective optimization problem whose decision criteria conflict with each other. This paper extends a novel numerical multiobjective optimization algorithm, so-called multiobjective extremal optimization (MOEO), to solve the portfolio optimization problem. The proposed...
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