厚脸皮
发表于 2025-3-30 11:16:46
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勾引
发表于 2025-3-30 15:35:46
Waste Reduction and Eco-Efficiencyunctions. In this paper, the proposed self-adaptive method is an attempt to determine the values of control parameters . and .. In this method, the adjusting of . and . associates with fitness of individuals and the new values are Chaos random numbers. The experiment results show that this algorithm
分散
发表于 2025-3-30 19:11:07
The Carbon Economy: A Brave New World?CDE algorithm and Guotao algorithm based on variable searching subspace(VSSGT) into the culture algorithm framework. Numerical experiment results indicate that the performance of the proposed algorithm is better than that of MCDE, Differential Evolution algorithm(DE) and VSSGT, and better than that
gerrymander
发表于 2025-3-30 22:44:57
https://doi.org/10.1057/978-1-137-43576-7le beacon promulgates its location information periodically, and nodes do not need to communicate with each other so that the energy consummation is depressed and the computation quantity is small. The scheme can be used in the nonlinear condition and thus is suitable for large WSNs which are deploy
Coronation
发表于 2025-3-31 04:25:10
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Fluctuate
发表于 2025-3-31 09:03:54
Daniel F. Oriesek,Jan Oliver Schwarzn of their constituents. Many algorithms proposed so far, especially the group of methods in the k-means formulation, can lead to a high degree of efficiency and accuracy. Here we test three k-means methods, based on optimal prediction, diffusion distance and dissimilarity index, respectively, on tw
大厅
发表于 2025-3-31 10:01:57
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Feedback
发表于 2025-3-31 16:13:04
Daniel F. Oriesek,Jan Oliver Schwarzramming, followed by a brief explanation of the popularity of the tournament selection in genetic programming. It then reviews issues and drawbacks in tournament selection, followed by analysis of and solutions to these issues and drawbacks. It finally points out some interesting directions for futu
补充
发表于 2025-3-31 18:14:37
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Instinctive
发表于 2025-3-31 23:05:24
Waste Reduction and Eco-Efficiencyjusting of . and . associates with fitness of individuals and the new values are Chaos random numbers. The experiment results show that this algorithm can attain better solutions than other algorithms for multimodal functions.