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We propose a method for clustering moving vectors oriented around two different local optima and some methods for improving the clustering performance. Evolutionary computation is an optimization method for finding the global optimum iteratively using multiple individuals; we propose a method for estimating the global optimum mathematically using the moving vectors between parent individuals and their...
In this paper, a system for feature selection based on chicken swarm optimization (CSO) algorithm is proposed. Datasets ordinarily includes a huge number of attributes, with irrelevant and redundant attribute. Commonly wrapper-based approaches are used for feature selection but it always requires an intelligent search technique as part of the evaluation function. Chicken swarm optimization (CSO)is...
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