Pareto optimal solutions based multi objective particle swarm optimization contr

Storage is an important part of commodity circulation. A certain amount of material must be stored t

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Set-based evolutionary optimization based on performance indicators is one of effective methods to s

Dynamic population artificial bee colony algorithm for multi-objective optimal power flow

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To improve the robustness of visual tracking in complex environments such as: cluttered backgrounds,

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Self-adapted Fuzzy c-means Segmentation Based on Hybrid Particle Swarm Optimization Algorithm

Empirical study of multi-objective ant colony optimization to software project scheduling problems