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Evolutionary Algorithm With Fitness Function using Reference Points
Vassil Guliashki, Krasimira Genova, Leoneed Kirilov
Institute of Information and Communication Technologies BAS, “Acad. G. Bonchev” Str. Bl. 2 1113 Sofia, Bulgaria
Abstract: In this work, we have introduced an evolutionary based algorithm for reference points. This process uses a heuristic for fast moving population with fitness function with scalarizing move. We have advocated a dialogue with interactiveness. The proposed new hybrid evolutionary algorithm is used to illustrate the performance of the new work.
Keywords: Evolutionary Algorithms, Multiple-objective Optimization, Hybrid Heuristic Techniques Evolutionary Algorithm With Fitness Function using Reference Points
DOI:https://doi.org/10.6025/jcl/2022/13/3/64-71
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