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Nowadays, metaheuristic optimization algorithms are used to find the globaloptima in difficult search spaces. Pontogammarus Maeoticus Swarm Optimization(PMSO) is a metaheuristic algorithm imitating aquatic nature and foragingbehavior. Pontogammarus Maeoticus, also called Gammarus in short, is a tinycreature found mostly in coast of Caspian Sea in Iran. In this algorithm,global optima is modeled as sea edge (coast) to which Gammarus creatures arewilling to move in order to rest from sea waves and forage in sand. Sea wavessatisfy exploration and foraging models exploitation. The strength of sea waveis determined according to distance of Gammarus from sea edge. The angles ofwaves applied on several particles are set randomly helping algorithm not bestuck in local bests. Meanwhile, the neighborhood of particles changeadaptively resulting in more efficient progress in searching. The proposedalgorithm, although is applicable on any optimization problem, is experimentedfor partially shaded solar PV array. Experiments on CEC05 benchmarks, as wellas solar PV array, show the effectiveness of this optimization algorithm.

Pontogammarus Maeoticus Swarm Optimization: A Metaheuristic Optimization Algorithm