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    Özelleştirilmiş Alfa Erkek (Alpha Male) Genetik Algoritmanın Evrimsel Algoritmalarla Performans Karşılaştırması
    (Trakya Üniversitesi, 2019) Satman, Mehmet Hakan; Akadal, Emre
    Alpha Male GeneticAlgorithms are sexist and population based optimization tools that mimic theswarm behavior of animals. The algorithm consists on a socially partitionedpopulation of individuals where the partitions are formed by sexual selectionof females. In this paper, we suggest to use Linear Crossover and Hooke-Jeevesmethod for crossover and hybridization operators of Alpha Male GeneticAlgorithms, respectively. We perform a simulation study using a set ofwell-known test functions to reveal performance differences between thespecialized algorithm and some other well-known optimization techniquesincluding Genetic Algorithms, Differential Evolution, Particle SwarmOptimization, and Artificial Bee Colony Optimization. Simulation results showthat the specialized algorithm outperforms its counterparts in most of thecases.