Zobrazeno 1 - 10
of 2 714
pro vyhledávání: '"li, Wenhua"'
Autor:
Li, Wenhua1,2 (AUTHOR), Dong, Pan2 (AUTHOR), Li, Yixiao1 (AUTHOR), Tang, Jiaxin1 (AUTHOR), Liu, Siyang1 (AUTHOR), Tu, Ling1 (AUTHOR) lingtu@tjh.tjmu.edu.cn, Xu, Xizhen2 (AUTHOR) xzxu@tjh.tjmu.edu.cn
Publikováno v:
Clinical Epigenetics. 11/29/2024, Vol. 16 Issue 1, p1-12. 12p.
Most multimodal multi-objective evolutionary algorithms (MMEAs) aim to find all global Pareto optimal sets (PSs) for a multimodal multi-objective optimization problem (MMOP). However, in real-world problems, decision makers (DMs) may be also interest
Externí odkaz:
http://arxiv.org/abs/2212.01219
Publikováno v:
In Separation and Purification Technology 19 January 2025 353 Part B
Publikováno v:
In Food Bioscience January 2025 63
Autor:
Cheng, Helai a, b, ⁎, Li, Wenhua a, b, Zhang, Chong a, Dai, Zheqin b, c, Dai, Hongliang b, c, Chen, Hong a, b, Wen, Cangxiang a, b, Cheng, Fangkui b, Lu, Xiwu a, b
Publikováno v:
In Journal of Water Process Engineering January 2025 69
Publikováno v:
In Ocean Engineering 1 January 2025 315
Binary matrix optimization commonly arise in the real world, e.g., multi-microgrid network structure design problem (MGNSDP), which is to minimize the total length of the power supply line under certain constraints. Finding the global optimal solutio
Externí odkaz:
http://arxiv.org/abs/2207.08327
Multimodal multi-objective problems (MMOPs) commonly arise in real-world problems where distant solutions in decision space correspond to very similar objective values. To obtain all solutions for MMOPs, many multimodal multi-objective evolutionary a
Externí odkaz:
http://arxiv.org/abs/2207.04730
Multi-objective orienteering problems (MO-OPs) are classical multi-objective routing problems and have received a lot of attention in the past decades. This study seeks to solve MO-OPs through a problem-decomposition framework, that is, a MO-OP is de
Externí odkaz:
http://arxiv.org/abs/2206.10464
Autor:
Li, Weiyi, Wang, Tao, Li, Wenhua, Wang, Jintao, Guo, Wanxiao, Jiang, Zexin, Fang, Yilin, Yun, Xiyao, Gao, Ning
Publikováno v:
In Defence Technology December 2024 42:176-182