勤勉
发表于 2025-3-23 13:22:00
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Archipelago
发表于 2025-3-23 17:30:32
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Inkling
发表于 2025-3-23 18:17:38
Suk S. Lim,Edward C. Prescott,Shyam Sundermplicated Pareto fronts derived from the DTLZ family, we visually show the estimation quality of the proposed method. Also, we show that the shape of the Pareto front and the distribution of sample objective vectors affect the estimation quality.
AVOID
发表于 2025-3-24 00:39:11
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Pantry
发表于 2025-3-24 06:13:10
Kernel Density Estimation for Reliable Biobjective Solution of Stochastic Problems-KDE, expectation . and standard deviation . are estimated with a high quality and good approximations of the true Pareto frontiers are obtained. No quality is lost with MIOS-KDE compared to MIOS-PDE. Additionally, MIOS-KDE is robust with respect to outliers, while MIOS-PDE is not.
antidote
发表于 2025-3-24 06:49:59
Combining User Knowledge and Online , for Faster Solution to Multi-objective Design Optimization Prowo practical large-scale design problems are chosen to demonstrate the usefulness of integrating human-machine information within a multi-objective optimization in finding similar quality solutions as that obtained by the original algorithm with less computational time.
套索
发表于 2025-3-24 11:31:25
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征税
发表于 2025-3-24 16:37:28
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宏伟
发表于 2025-3-24 20:21:22
Nikolaos Georgantzís,Giuseppe Attanasifficiency improvement. One is to simplify the environmental selection, and the other is to change the number of direction vectors depending on the state of evolution. Numerical experiments clearly show that the efficiency of R2HCA-EMOA is significantly improved without deteriorating its performance.
FACT
发表于 2025-3-25 03:04:03
Improving the Efficiency of R2HCA-EMOAfficiency improvement. One is to simplify the environmental selection, and the other is to change the number of direction vectors depending on the state of evolution. Numerical experiments clearly show that the efficiency of R2HCA-EMOA is significantly improved without deteriorating its performance.