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

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樓主: 斷頭臺(tái)
31#
發(fā)表于 2025-3-27 00:02:02 | 只看該作者
Causes of the Imbalance Between Exploration and Exploitation in Evolutionary Computationund by an evolutionary algorithm. In fact, only if the balance between exploration and exploitation is achieved in runs, good solutions can be obtained. In this paper, we observe the changing trend of genotype diversity in runs, which cannot obtain the optimal, of different EAs. Then, we illustrate
32#
發(fā)表于 2025-3-27 03:22:21 | 只看該作者
Analysis of Optimization Capability of Selection Operator for DE Algorithmts, such as theory and application. Selection operator using greedy strategy is an important part of DE algorithm. Traditionally thought, the DE selection operator is only a means to maintain effective population evolution of DE. In fact, the DE selection operator also has some capability to optimiz
33#
發(fā)表于 2025-3-27 08:36:15 | 只看該作者
A New Quantum Evolutionary Algorithm in 0-1 Knapsack Problemal mathematics, computational complexity theory, cryptography and applied mathematics. Based on the characteristics of 0-1 knapsack problem, this essay proposes an improved quantum evolutionary algorithm (IQEA) based on dynamic rotation angle catastrophe technology and designs a quantum rotating gat
34#
發(fā)表于 2025-3-27 09:43:01 | 只看該作者
A General Selection Method for Mutation Strategy in Differential Evolutionious improved mutation strategies to solve this issue for DE. Most of them can be classified as deterministic rules. That is to say, they select individuals according to predetermined methods and so the balance is static. However, different evolution stages require different balance between explorat
35#
發(fā)表于 2025-3-27 14:40:32 | 只看該作者
36#
發(fā)表于 2025-3-27 18:22:40 | 只看該作者
37#
發(fā)表于 2025-3-28 00:56:34 | 只看該作者
A New Multi-strategy Ensemble Artificial Bee Colony Algorithm for Water Demand Predictionmental results show that NMEABC is superior to the original multi-strategy ensemble ABC (MEABC). Finally, NMEABC is applied to predict the water demand in Nanchang city. Simulation results demonstrate that NMEABC can achieve a good prediction accuracy.
38#
發(fā)表于 2025-3-28 03:23:02 | 只看該作者
39#
發(fā)表于 2025-3-28 07:23:45 | 只看該作者
1865-0929 ation; multilingual automatic document classication and translation; knowledge-based articial intelligence; predictive data mining..978-981-13-6472-3978-981-13-6473-0Series ISSN 1865-0929 Series E-ISSN 1865-0937
40#
發(fā)表于 2025-3-28 14:30:30 | 只看該作者
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