Generalized Type-2 Fuzzy Approach for Parameter Adaptation in the Whale Optimization Algorithm DOI Creative Commons
Leticia Amador-Angulo, Oscar Castillo, Patricia Melín

et al.

Mathematics, Journal Year: 2024, Volume and Issue: 12(24), P. 4031 - 4031

Published: Dec. 22, 2024

An enhanced whale optimization algorithm (WOA) through the implementation of a generalized type-2 fuzzy logic system (GT2FLS) is outlined. The initial idea to improve efficacy original WOA using GT2FLS find optimal values and parameters WOA, for case optimizing mathematical functions. In algorithm, variable that affects new position in search space, this case, affecting exploration, has an effect on finding local optima, which important factor exploration. efficiency with (FWOA-GT2FLS) highlighted by presenting excellent results study benchmark function optimization. A relevant analysis comparison bio-inspired based artificial bees also presented. Statistical tests comparisons other algorithms type-1 FLS (FWOA-T1FLS) interval (FWOA-IT2FLS), are For each methodologies, metric evaluation average minimum squared errors.

Language: Английский

Generalized Type-2 Fuzzy Approach for Parameter Adaptation in the Whale Optimization Algorithm DOI Creative Commons
Leticia Amador-Angulo, Oscar Castillo, Patricia Melín

et al.

Mathematics, Journal Year: 2024, Volume and Issue: 12(24), P. 4031 - 4031

Published: Dec. 22, 2024

An enhanced whale optimization algorithm (WOA) through the implementation of a generalized type-2 fuzzy logic system (GT2FLS) is outlined. The initial idea to improve efficacy original WOA using GT2FLS find optimal values and parameters WOA, for case optimizing mathematical functions. In algorithm, variable that affects new position in search space, this case, affecting exploration, has an effect on finding local optima, which important factor exploration. efficiency with (FWOA-GT2FLS) highlighted by presenting excellent results study benchmark function optimization. A relevant analysis comparison bio-inspired based artificial bees also presented. Statistical tests comparisons other algorithms type-1 FLS (FWOA-T1FLS) interval (FWOA-IT2FLS), are For each methodologies, metric evaluation average minimum squared errors.

Language: Английский

Citations

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