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Non-dominated sorting has been widely adopted in evolutionary multi-objective optimization. Many approaches to non-dominated sorting have been proposed to improve its computational efficiency, but unfortunately, most of them still suffer from high computational cost, especially when the number of objectives becomes large. A tree-based efficient non-dominated sorting approach, termed T-ENS, has been...
Evolutionary algorithms have been shown to be powerful for solving multiobjective optimization problems, in which nondominated sorting is a widely adopted technique in selection. This technique, however, can be computationally expensive, especially when the number of individuals in the population becomes large. This is mainly because in most existing nondominated sorting algorithms, a solution needs...
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