A Black Widow Optimization Algorithm Using Chaos Reproduction Operator

  • Alaa Mokhtar , Hegazy Zaher , Naglaa Ragaa , Eman Mostafa
Keywords: Optimization, Chaos, Black Widow Optimization Algorithm, Logistic Function

Abstract

Nature-inspired optimization algorithms can solve different scientific and engineering problems. Recently, metaheuristic algorithms are becoming powerful methods for solving NP problems. Black Widow Optimization (BWO) algorithm, is inspired by the mating behavior of black widow spiders. In this paper, a proposed more efficient algorithm for black widow optimization algorithm using a chaotic reproduction operator is proposed. Some experiments have been performed to study chaotic modernization in simulations of evolution. Three different algorithms are proposed; the first algorithm is called speedy, the second algorithm is called periodic and The third algorithm is called chaotic. The second order logistic function with one parameter is used to show the chaotic behavior. Obtained results show the efficiency that the proposed algorithms are more efficient than the old ones.

Published
2021-10-16
How to Cite
Eman Mostafa , A. M. , H. Z. , N. R. ,. (2021). A Black Widow Optimization Algorithm Using Chaos Reproduction Operator. Design Engineering, 4751-4763. Retrieved from http://thedesignengineering.com/index.php/DE/article/view/5426
Section
Articles