Woodpecker Mating Algorithm (WMA): a nature-inspired algorithm for solving optimization problems

摘要: Nature-inspired metaheuristic algorithms have been a topic of interest for researchers to solve optimization problems in engineering designs and real-world applications, due their simplicity flexibility. This paper presents new nature-inspired search algorithm called Woodpecker Mating Algorithm (WMA) applies it challenging structural optimization. The WMA is population-based that mimics the mating behavior woodpeckers. It was inspired by drumming sound intensity. In WMA, population woodpeckers divided into male female groups. approach based on intensity drum sound. An efficiency comparison drawn between other employing 19 benchmark functions(including unimodal, multimodal composite functions). Moreover, performance compared with 8 best meta-heuristic using 13 high dimensional unimodal functions. assessments statistical results indicate offers promising capable outperforming most recent popular proposed literature employed statistically significant difference observed assessed algorithms. produced non-convex, inseparable, scalable problems.