An Evolutionary Algorithm: An Enhancement of Binary Tournament Selection for Fish Feed Formulation
نویسندگان
چکیده
Binary tournament (BT) selection is known as an established operator that has been employed in various problems. However, the development of evolutionary algorithms (EA), this a drawback providing efficient implementation union procedure, which cannot guarantee parsimonious knowledge base with reduced number rules. Therefore, paper introduces binary-standard deviation (SD) into EA enhancement BT can lead to focus on more exploration terms searching for best solutions. The proposed experimented within fish feed formulation grouper farming case study finding minimum cost and fulfilling constraints. This approach better than experimental design costs time. motivation doing so search alternative ingredients fish, price trash too luxurious. It because are carnivorous need many growth. novelty SD compared but not myopic algorithm. Hence, based comparative study, findings enhanced towards have convinced accepted constraints requirements.
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ژورنال
عنوان ژورنال: Complexity
سال: 2022
ISSN: ['1099-0526', '1076-2787']
DOI: https://doi.org/10.1155/2022/7796633