财主
发表于 2025-3-26 21:27:57
http://reply.papertrans.cn/32/3179/317872/317872_31.png
诱惑
发表于 2025-3-27 04:15:10
Minorities in West Asia and North Africau tenure managing in the literature and presents a new and original Tabu tenure adaptation mechanism. The generic method is tested on the k-coloring problem and compared with some best methods published in the literature. Obtained results show the competitiveness of the method.
补助
发表于 2025-3-27 06:13:38
http://reply.papertrans.cn/32/3179/317872/317872_33.png
guardianship
发表于 2025-3-27 13:31:30
Callie R. Mitchell,Porcia B. Loveesigned based on these characteristic values and a genetic algorithm combined with the immune mechanism is devised to solve the job shop scheduling problem. Numerical computations for problems of different scales show that the proposed algorithm achieves effective results by accelerating the convergence of the optimization process.
机密
发表于 2025-3-27 13:36:38
http://reply.papertrans.cn/32/3179/317872/317872_35.png
Lipoprotein
发表于 2025-3-27 19:21:41
http://reply.papertrans.cn/32/3179/317872/317872_36.png
欲望
发表于 2025-3-28 01:20:46
http://reply.papertrans.cn/32/3179/317872/317872_37.png
啜泣
发表于 2025-3-28 05:44:55
An Immune Genetic Algorithm Based on Bottleneck Jobs for the Job Shop Scheduling Problem,esigned based on these characteristic values and a genetic algorithm combined with the immune mechanism is devised to solve the job shop scheduling problem. Numerical computations for problems of different scales show that the proposed algorithm achieves effective results by accelerating the convergence of the optimization process.
aristocracy
发表于 2025-3-28 07:30:42
Multiobjective Prototype Optimization with Evolved Improvement Steps,ctive version of the POEMS algorithm (mPOEMS), which was experimentally evaluated on the multiobjective 0/1 knapsack problem with alternative multiobjective evolutionary algorithms. Major result of the experiments was that the proposed algorithm performed comparable to or better than the alternative algorithms.
原来
发表于 2025-3-28 13:18:56
A Conflict Tabu Search Evolutionary Algorithm for Solving Constraint Satisfaction Problems,experimental fine-tuning of parameters was performed to optimise the performance of the algorithm on a commonly used test-set. Compared to the performance of the earlier STLEA, and benchmark algorithms, the CTLEA outperforms the former, and approaches the later.