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Meta-heuristic techniques are important as they are used to find solutions tocomputationally intractable problems. Simplistic methods such as exhaustivesearch become computationally expensive and unreliable as the solution spacefor search algorithms increase. As no method is guaranteed to perform betterthan all others in all classes of optimization search problems, there is a needto constantly find new and/or adapt old search algorithms. This researchproposes an Infrasonic Search Algorithm, inspired from the Gravitational SearchAlgorithm and the mating behaviour in peafowls. The Infrasonic Search Algorithmidentified competitive solutions to 23 benchmark unimodal and multimodal testfunctions compared to the Genetic Algorithm, Particle Swarm OptimizationAlgorithm and the Gravitational Search Algorithm.

A Meta-Heuristic Search Algorithm based on Infrasonic Mating Displays in Peafowls