比目鱼
发表于 2025-3-25 03:39:09
Difference Vector Angle Dominance with an Angle Threshold for Expensive Multi-objective Optimizationstly give the definition of DVAD-. that measures the superiority from one solution to another solution, where the angle threshold . controls the selection pressure. Then, we propose an adaptive determination strategy of angle threshold based on bisection to set proper pressure for picking out promis
不能妥协
发表于 2025-3-25 08:18:33
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CHOIR
发表于 2025-3-25 13:01:01
An Improved MOEA/D with Pareto Frontier Individual Selection Based on Weight Vector Anglesace, ensuring the preservation of desired diversity across the evolutionary trajectory. Such an adaptation strikes a more refined balance between convergence and diversity, especially in the realm of high-dimensional multi-objective optimization. Experimental validations suggest that our proposed al
补助
发表于 2025-3-25 18:15:01
A Hybrid Response Strategy for Dynamic Constrained Multi-objective Optimizationove the distribution of the initial population in the new environment. The second strategy is the classification prediction strategy. Firstly, the CCMO is employed to obtain a feasible priority population and an unconstrained population. Then, prediction is performed separately on each population, w
exostosis
发表于 2025-3-25 21:21:03
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vitrectomy
发表于 2025-3-26 01:32:17
Dynamic Constrained Robust Optimization over Time for Operational Indices of Pre-oxidation Processigh-quality filaments and reduce energy consumption while reducing the switching cost of solutions. Experimental results show that DCMOEA-ND can obtain Pareto optimal set (POS) with better convergence and distribution, and the robust solutions obtained by DCROOT have better performance than other al
TIA742
发表于 2025-3-26 06:53:53
Comparison of CLPSO, ECLPSO and ACLPSO on CEC2013 Multimodal Benchmark Functionse also a number of local optima in the search space. In addition, the CEC2013 test set contains composition functions that mix different characteristics of various basic functions, causing the search space to have a huge quantity of local optima and is very complex. Experimental results demonstrate
神刊
发表于 2025-3-26 12:30:55
A Non Dominant Sorting Algorithm with Dual Population Dynamic Collaborationd population having a larger size and utilizing local search to explore the feasible domain. Additionally, we propose a non-dominated criterion sorting method to select better individuals, adjusting the non-dominated level based on the proportion of feasible solutions in the input population. Experi
投票
发表于 2025-3-26 13:33:40
Bio-Inspired Computing: Theories and Applications978-981-97-2272-3Series ISSN 1865-0929 Series E-ISSN 1865-0937
讽刺滑稽戏剧
发表于 2025-3-26 17:02:56
https://doi.org/10.1007/978-981-97-2272-3artificial intelligence; machine learning; bio-inspired computing; neural networks; brain-inspired compu