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Information Journal Paper

Title

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

Pages

  137-157

Abstract

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

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    APA: Copy

    Karimzadeh Parizi, Morteza, KEYNIA, FARSHID, & Khatibi Bardsiri, Amid. (2020). Woodpecker Mating Algorithm (WMA): a nature-inspired algorithm for solving optimization problems. INTERNATIONAL JOURNAL OF NONLINEAR ANALYSIS AND APPLICATIONS, 11(1), 137-157. SID. https://sid.ir/paper/340822/en

    Vancouver: Copy

    Karimzadeh Parizi Morteza, KEYNIA FARSHID, Khatibi Bardsiri Amid. Woodpecker Mating Algorithm (WMA): a nature-inspired algorithm for solving optimization problems. INTERNATIONAL JOURNAL OF NONLINEAR ANALYSIS AND APPLICATIONS[Internet]. 2020;11(1):137-157. Available from: https://sid.ir/paper/340822/en

    IEEE: Copy

    Morteza Karimzadeh Parizi, FARSHID KEYNIA, and Amid Khatibi Bardsiri, “Woodpecker Mating Algorithm (WMA): a nature-inspired algorithm for solving optimization problems,” INTERNATIONAL JOURNAL OF NONLINEAR ANALYSIS AND APPLICATIONS, vol. 11, no. 1, pp. 137–157, 2020, [Online]. Available: https://sid.ir/paper/340822/en

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