Titlebook: Swarm, Evolutionary, and Memetic Computing; 4th International Co Bijaya Ketan Panigrahi,Ponnuthurai Nagaratnam Suga Conference proceedings

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/t/image/883689.jpg

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https://doi.org/10.1007/978-3-319-03753-0data mining; evolutionary algorithms; heuristic optimization; hybrid systems; self organizing map; algori

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A Populated Iterated Greedy Algorithm with Inver-Over Operator for Traveling Salesman Problem,dy (IG) algorithm is mainly based on the central procedures of destruction and construction. The basic idea behind it is to remove some solution components from a current solution and reconstruct them in the partial solution to obtain the complete solution again. In this paper, we apply this idea in

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Meta-modeling and Optimization for Varying Dimensional Search Space,reduce the time, cost and risk associated with conducting a physical experiment. However, many such simulations are computationally expensive and impractical for optimization. Meta-models have been successfully used to give quick approximation of the process responses in simulations and facilitate t

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A General Variable Neighborhood Search Algorithm for the No-Idle Permutation Flowshop Scheduling Pr times are not allowed on machines. GVNS is a metaheuristic, where inner loop operates a variable neighborhood descend (VND) algorithm whereas the outer loop carries out some perturbations on the current solution. We employ a simple insert and swap moves in the outer loop whereas iterated greedy (IG

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