Local Fitness Landscape Exploration Based Genetic Algorithms
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DOI: 10.1109/access.2023.3234775
Abstract: Genetic algorithms (GAs) have been used to evolve optimal/sub-optimal solutions of many problems. When using GAs for evolving solutions, often fitness evaluation is the most computationally expensive, and this discourages researchers from applying GAs for… read more here.
Keywords: landscape exploration; fitness; fitness landscape; multi objective ... See more keywords