Evolutionary algorithms for solving multi-objective problems
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...THE USE OF evolutionary algorithms for multiobjective optimization (an area called “evolutionary multiobjective optimization,” or EMO for short) has significantly grown in the last few years, giving rise to a wide variety of algorithms [7]....
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...• Dynamic neighborhood PSO proposed by Hu and Eberhart [16]: In this algorithm, only one objective is optimized at a time using a scheme similar to lexicographic ordering [7]....
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...The idea of the sigma approach is similar to compromise programming [7]....
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...Additionally, in the specialized literature, a size of 100 for the external population has been a common practice [7]....
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