A Meta-Heuristic Search Algorithm based on Infrasonic Mating Displays in Peafowls
Journal of Advances in Mathematics and Computer Science · pp. 98–106 · Published 25 Jun 2021
10.9734/jamcs/2021/v36i530366Abstract
Meta-heuristic techniques are important as they are used to find solutions to computationally intractable problems. Simplistic methods such as exhaustive search become computationally expensive and unreliable as the solution space for search algorithms increase. As no method is guaranteed to perform better than all others in all classes of optimization search problems, there is a need to constantly find new and/or adapt old search algorithms. This research proposes an Infrasonic Search Algorithm, inspired from the Gravitational Search Algorithm and the mating behaviour in peafowls. The Infrasonic Search Algorithm identified competitive solutions to 23 benchmark unimodal and multimodal test functions compared to the Genetic Algorithm, Particle Swarm Optimization Algorithm and the Gravitational Search Algorithm.
Cited by 1
Yahya A. Alhamdany, B. Mitras · Journal of Al-Qadisiyah for Computer Science and Mathematics · 2022
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