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In this paper, an adaptive genetic algorithm based on multi-population elite selection strategy is proposed. The multi-population elite selection strategy is used to preserve the optimal individuals of each group. Finally, these optimal individuals formed a population, and then use the improved adaptive genetic algorithm to finish the solution. By comparing the simulation experiments of TSP problem...
Multi-Population Cultural Algorithms (MPCA) define a set of individuals, each belonging to one of a set of populations that determines the shared goal, behavior or knowledge space of the individual. The design of MPCA extends from Cultural Algorithms (CA), which in turn improves on Genetic Algorithms (GA). To date, all examples of MPCA restrict individuals to belong to a single population at any given...
The importance of optimization and NP-problems solving cannot be over emphasized. The usefulness and popularity of evolutionary computing methods are also well established. There are various types of evolutionary methods that are mostly sequential, and some others have parallel implementation. We propose a method to parallelize Imperialist Competitive Algorithm (Multi-Population). The algorithm has...
The importance of optimization and NP-problems solving cannot be over emphasized. The usefulness and popularity of evolutionary computing methods are also well established. There are various types of evolutionary methods that are mostly sequential, and some others have parallel implementation. We propose a method to parallelize Imperialist Competitive Algorithm (Multi-Population). The algorithm has...
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