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- W4312096963 abstract "This study throws the light on two metaheuristic algorithms and enable researchers to leverage the potential of adapting them in whatever applications they may have either in engineering, computer science, or business. The two algorithms are the GA and the JAYA. The JAYA algorithm is a modern population-based meta heuristic algorithm, its applications are presented in this work. The JA Y A algorithm integrates evolutionary algorithms' survival of the fittest concept with the productivity and richness of heuristic search methodologies. On the other a well-known and somewhat older evolutionary based method called the Genetic Algorithm with applications is also presented here. The recent two algorithms; the JA Y A and the GA have broad comparable applications in computer science and engineering applications." @default.
- W4312096963 created "2023-01-04" @default.
- W4312096963 creator A5078607983 @default.
- W4312096963 date "2022-11-05" @default.
- W4312096963 modified "2023-09-25" @default.
- W4312096963 title "A Review of the Genetic Algorithm and JAYA Algorithm Applications" @default.
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- W4312096963 doi "https://doi.org/10.1109/cisp-bmei56279.2022.9980332" @default.
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