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Titlebook: Artificial Intelligence and Computational Intelligence; International Confer Hepu Deng,Lanzhou Wang,Jingsheng Lei Conference proceedings 20

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Effects of Diversity on Optimality in GAesultant diversity and final optimality for this method is compared with standard Mutation at various probabilities. Simulation results show that this method improves search optimality for certain types of problems.
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https://doi.org/10.1007/978-3-031-73853-1ctor control of induction motor is simplified. The experimental results show that the proposed method is effective in decreasing the dynamic disturbance and has the advantages of the simplicity of the code program, rare saturation and shocks.
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EU-Taxonomie-Konformität im Wohnungsbaut rule called . is designed to update archive. Experiment on ZDTx and DTLZx problems by jMetal 2.1, the results show that the new hybrid algorithm significant outperforms OMOPSO, SMPSO in terms of additive Epsilon, HyperVolume, Genetic Distance, Inverted Genetic Distance.
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https://doi.org/10.1007/978-3-031-71777-2 several experiments were performed to compare the proposed method with some other improvements. The results are satisfactory. The experiment results show that the proposed method is better than other improvements at both precision and convergence rate.
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https://doi.org/10.1007/978-3-031-65407-7MOCCGA is in their niching technique which instead of the traditional sharing mechanism in MOCCGA, a novel grid-based technique is used in GBCCGA. The reported results show that GBCCGA performs roughly the same as NSCCGA but with very low computational complexity with respect to the original MOCCGA.
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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/b/image/162177.jpg
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