Titlebook: Computational Intelligence and Intelligent Systems; 10th International S Hu Peng,Changshou Deng,Yong Liu Conference proceedings 2019 Spring

芳香一點(diǎn)

Computational Intelligence and Intelligent Systems10th International S

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Artificial Bee Colony Algorithm Based on Uniform Local Searchn but poor at exploitation and easily falls into local optimum. In order to overcome these shortcomings and improve the efficiency of the algorithm, the Uniform Local Search Artificial Bee Colony (UGABC) algorithm has been proposed in this paper. The algorithm greatly improves the exploitation abili

Aesthete

在前面

不確定

Explosive

athlete’s-foot

monochromatic

indigenous

Arable

A Novel Discrete Grey Wolf Optimizer for Solving the Bounded Knapsack Problem order to solve the bounded knapsack problem by the GWO, a novel Discrete Grey Wolf Optimizer (DGWO) is proposed in this paper. On the basis of DGWO, the crossover strategy of the genetic algorithm is introduced to enhance its local search ability, and infeasible solutions are processed by a Repair