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. In this paper, a new particle swarm optimization (PSO) algorithm is proposed for solving a team formation optimization … problem by minimizing the communication cost among experts. The proposed algorithm is called by improved particle optimization … the consistency of the capabilities and the skills to perform the required project. Also, the proposed algorithm is …
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–learning-based optimization is a meta-heuristic algorithm which does not have any algorithm-specific parameters that are to be tuned in comparison … to other meta-heuristics. Therefore, it can be considered as an efficient algorithm. As best student of the class is … optimum. To avoid this limitation, a new local search technique followed by a mutation strategy (from genetic algorithm) is …
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In this paper, we propose formulations and algorithms for robust portfolio optimization under both aleatory uncertainty (i.e., natural variability) and epistemic uncertainty (i.e., imprecise probabilistic information) arising from interval data. Epistemic uncertainty is represented using two...
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cat swarm optimization algorithm, that solves the open shop scheduling problem, classified as NP-hard which its importance … appears in several industrial and manufacturing applications. The cat swarm optimization algorithm was applied to solve some … the proposed metaheuristic with other’s existing in the literature, show that the cat swarm optimization algorithm yields …
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