Terrace
发表于 2025-3-30 09:34:07
P. B. Deveralltrained optimization problems, a novel differential evolution algorithm (CO-JADE) based on adaptive differential evolution (JADE) for constrained optimization was proposed. The algorithm used skew tent chaotic mapping to initialize the population, generated the crossover probability of each individu
我就不公正
发表于 2025-3-30 15:07:04
I. Reyes,A. Juffe,G. Pradas,R. Burgos,L. Pulpón,G. Tellez,R. Vargas,D. Figueraed particle swarm optimization (AMOPSO). The new algorithm applies adaptive mutation selection strategy (AMS) on the basis of generalized opposition-based learning method (GOBL) and a nonlinear inertia weight (AW). GOBL strategy can provide more chances to find solutions by space transformation sear
Palate
发表于 2025-3-30 19:54:58
A. Wessels,M. Antuness proposed to deal with the premature convergence of those algorithms. For realizing the decrement of search space, the differences or the distances between individual sites and the site of the global performance are to form the threshold of the self-adaption system. Once the value reached by calcul
我不重要
发表于 2025-3-30 21:28:13
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diskitis
发表于 2025-3-31 04:16:55
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artless
发表于 2025-3-31 08:21:34
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ingestion
发表于 2025-3-31 12:26:40
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AGONY
发表于 2025-3-31 15:07:34
J. M. Hasenkam,J. H. Østergaard,E. M. Pedersen,P. K. Paulsen,B. A. Schurizek,H. Stødkilde-Jørgensenthe traditional clustering algorithm to achieve clustering analysis. Aiming at the disadvantages of the basic particle swarm optimization algorithm is easy to fall into local extremum, the search accuracy is not high, and the traditional K-means and FCM clustering algorithm are affected by the initi