Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Zhiwei Mei"'
Autor:
Zhiwei Mei, Haihan Li, Guanbo Wang, Yanqi Mao, Yuncun Xu, Jiaming Guo, Qingyu Li, Huaifeng Li, Wenqiong Li, Yanmei Tang, Xiaoguang Liang
Publikováno v:
Applied Surface Science. 615:156324
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48727803780ed610d83d036fb58ba2bd
https://doi.org/10.1016/j.apsusc.2022.156324
https://doi.org/10.1016/j.apsusc.2022.156324
Autor:
Haihan Li, Jiaming Guo, Yanqi Mao, Guanbo Wang, Jinlan Liu, Yuncun Xu, Zhiwei Wu, Zhiwei Mei, Wenqiong Li, Yun He, Xiaoguang Liang
Publikováno v:
Small. 19:2206814
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3081e9ae198992b248a2b91b830166ea
https://doi.org/10.1002/smll.202206814
https://doi.org/10.1002/smll.202206814
Autor:
Jiaming Guo, Wenqiong Li, Yuncun Xu, Yanqi Mao, Zhiwei Mei, Haihan Li, Yun He, Xingyuan San, Kui Xu, Xiaoguang Liang
Publikováno v:
Small Methods. 7:2201371
Metal single atoms show outstanding electrocatalytic activity owing to the abundant atomic reactive sites and superior stability. However, the preparation of single atoms suffers from inexorable metal aggregation which is harmful to electrocatalytic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c05aabeae59743e53b542f646fed5387
https://doi.org/10.1002/smtd.202201371
https://doi.org/10.1002/smtd.202201371
Publikováno v:
IEEE Transactions on Evolutionary Computation. 22:564-577
Decomposition-based multiobjective evolutionary algorithms (MOEAs) decompose a multiobjective optimization problem (MOP) into a set of scalar objective subproblems and solve them in a collaborative way. Commonly used decomposition approaches originat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8b70cd3ad86420a11b35753c2072191
https://doi.org/10.1109/tevc.2017.2744674
https://doi.org/10.1109/tevc.2017.2744674
Publikováno v:
IEEE transactions on cybernetics. 51(5)
The decomposition-based algorithms [e.g., multiobjective evolutionary algorithm based on decomposition (MOEA/D)] transform a multiobjective optimization problem (MOP) into a number of single-objective optimization subproblems and solve them in a coll
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::443ce36125f0a1eb7a139ee3d63eb0a6
https://pubmed.ncbi.nlm.nih.gov/31425134
https://pubmed.ncbi.nlm.nih.gov/31425134
Publikováno v:
IEEE transactions on cybernetics. 48(8)
Decomposition-based multiobjective evolutionary algorithm has shown its advantage in addressing many-objective optimization problem (MaOP). To further improve its convergence on MaOPs and its diversity for MaOPs with irregular Pareto fronts (PFs, e.g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::438a1710e2131a09e5a5ae5fe230c562
https://pubmed.ncbi.nlm.nih.gov/28858821
https://pubmed.ncbi.nlm.nih.gov/28858821
Publikováno v:
Bio-inspired Computing – Theories and Applications ISBN: 9789811036132
BIC-TA (2)
BIC-TA (2)
Decomposition based multiobjective evolutionary algorithms (MOEAs) decompose a multiobjective optimization problem into a set of scalar objective subproblems and solve them in a collaborative way. Commonly used decomposition approaches are originated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36f38415a8cee9ac0bffecd4d14e0f65
https://doi.org/10.1007/978-981-10-3614-9_38
https://doi.org/10.1007/978-981-10-3614-9_38
