芳香一点 发表于 2025-3-25 07:08:40
Computational Intelligence and Intelligent Systems10th International Sheadway 发表于 2025-3-25 08:03:25
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 abiliAesthete 发表于 2025-3-25 15:05:14
http://reply.papertrans.cn/24/2325/232423/232423_23.png在前面 发表于 2025-3-25 19:39:11
http://reply.papertrans.cn/24/2325/232423/232423_24.png不确定 发表于 2025-3-25 22:26:37
http://reply.papertrans.cn/24/2325/232423/232423_25.pngExplosive 发表于 2025-3-26 01:03:54
http://reply.papertrans.cn/24/2325/232423/232423_26.pngathlete’s-foot 发表于 2025-3-26 04:31:26
http://reply.papertrans.cn/24/2325/232423/232423_27.pngmonochromatic 发表于 2025-3-26 11:24:01
http://reply.papertrans.cn/24/2325/232423/232423_28.pngindigenous 发表于 2025-3-26 13:03:08
http://reply.papertrans.cn/24/2325/232423/232423_29.pngArable 发表于 2025-3-26 19:05:16
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