عنوان البحث | ملخص البحث | Research Abstract |
K-means-clustering based evolutionary algorithm for multi-objective resource allocation problems
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A hybridization of sine cosine algorithm with steady state genetic algorithm for engineering design problems
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Binary-Real Coded Genetic Algorithm Based k-Means Clustering for Unit Commitment Problem
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Solving nonlinear single-unit commitment problem by genetic algorithm based clustering technique
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Genetic algorithm based on k-means-clustering technique for multi-objective resource allocation problems
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A new hybrid metaheuristic algorithm for multiobjective optimization problems
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An intelligent computing technique based on a dynamic-size subpopulations for unit commitment problem
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Steady-State Sine Cosine Genetic Algorithm Based Chaotic Search for Nonlinear Programming and Engineering Applications
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