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Local Budget Benefits, Population Commitment, and Solver Performance: A DGO Case Study with Controlled DE Transfer

Li, Shiqi
arXiv (All) · Papers
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neural-and-evolutionary-computingoptimization-and-control
An evaluated candidate can improve a local search step, alter the population used by later steps, and affect a solver's final result. We distinguish these three questions using Da Gou Gun Optimization (DGO), a population optimizer designed for this study. Its JQ100 configuration evaluates an interpo
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