Journal Article10.1016/j.ins.2023.02.055
A Pearson correlation-based adaptive variable grouping method for large-scale multi-objective optimization
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TL;DR: In this paper , the authors proposed a Pearson correlation-based adaptive variable grouping method, which not only consumes no additional computational budget, but also is able to adaptively divide variables with the evolvement of solutions.
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About: This article is published in Information Sciences. The article was published on 01 Feb 2023. The article focuses on the topics: Pearson product-moment correlation coefficient & Distance correlation.
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A novel evaluation method for renewable energy development based on improved sparrow search algorithm and projection pursuit model
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TL;DR: The proof-of-principle results obtained on two artificial problems as well as a larger problem, the synthesis of a digital hardware-software multiprocessor system, suggest that SPEA can be very effective in sampling from along the entire Pareto-optimal front and distributing the generated solutions over the tradeoff surface.
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•Journal Article
Simulated Binary Crossover for Continuous Search Space.
TL;DR: A real-coded crossover operator is developed whose search power is similar to that of the single-point crossover used in binary-coded GAs, and SBX is found to be particularly useful in problems having mult ip le optimal solutions with a narrow global basin where the lower and upper bo unds of the global optimum are not known a priori.
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