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Hybrid genetic algorithms significant interest over the decade are increasingly used to resolve real-world problems. Genetic algorithm’s ability to incorporate various techniques within its framework to produce a hybrid that secures the best from the blend. In this paper, different forms of integrations between genetic algorithms and various search and optimization techniques/methods will be focused on. This dissertation also aims to observe issues that acquire our consideration when designing a hybrid genetic algorithm that uses another search method as searching tools. Different approaches for employing these searching tool information and various mechanisms that acquire attaining a balance between global genetic algorithm and search tools. Referenced terms local search, genetic algorithm, hybrid, population, fitness, algorithms, Lamarckian

Effective and Efficient ways of Hybridizing GA with various methods while reviewing a wide variety of Hybrid Genetic Approaches.