Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Kunjie Yu"'
Publikováno v:
Complex & Intelligent Systems, Vol 9, Iss 5, Pp 5907-5922 (2023)
Abstract Constrained multi-objective optimization problems (CMOPs) exist widely in the real world, which simultaneously contain multiple constraints to be satisfied and multiple conflicting objectives to be optimized. Therefore, the challage in addre
Externí odkaz:
https://doaj.org/article/604dad74474d45649675549c234443df
Publikováno v:
Complex & Intelligent Systems, Vol 9, Iss 5, Pp 5251-5266 (2023)
Abstract Fitness landscape analysis devotes to characterizing different properties of optimization problems, such as evolvability, sharpness, and neutrality. Although several landscape features have been proposed, only a few of them can be used in pr
Externí odkaz:
https://doaj.org/article/74eeb66ca99e4353b949c6d710c62884
Publikováno v:
CAAI Artificial Intelligence Research, Vol 2, p 9150014 (2023)
This paper reviews the researches on boiler combustion optimization, which is an important direction in the field of energy saving and emission reduction. Many methods have been used to deal with boiler combustion optimization, among which evolutiona
Externí odkaz:
https://doaj.org/article/ccefa345a1624d4c8a737e559a76834b
Publikováno v:
Complex System Modeling and Simulation, Vol 2, Iss 1, Pp 35-58 (2022)
To address complex single objective global optimization problems, a new Level-Based Learning Differential Evolution (LBLDE) is developed in this study. In this approach, the whole population is sorted from the best to the worst at the beginning of ea
Externí odkaz:
https://doaj.org/article/50dfd3b30e5845948171c4c3fbd310cf
Publikováno v:
Journal of Applied Mathematics, Vol 2018 (2018)
Teaching-learning-based optimization (TLBO) is a population-based metaheuristic search algorithm inspired by the teaching and learning process in a classroom. It has been successfully applied to many scientific and engineering applications in the pas
Externí odkaz:
https://doaj.org/article/088b743c82cf42818d574438734a8736
Publikováno v:
IEEE Transactions on Cybernetics. 53:3873-3886
Constrained multiobjective optimization problems (CMOPs) involve multiple objectives to be optimized and various constraints to be satisfied, which challenges the evolutionary algorithms in balancing the objectives and constraints. This article attem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24ab7d5df6c706e88b52b589ea65adfd
https://doi.org/10.1109/tcyb.2022.3163759
https://doi.org/10.1109/tcyb.2022.3163759
Publikováno v:
IEICE Transactions on Information and Systems. :601-616
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d29e35ff2d0403105e8d4a6859f28ce
https://doi.org/10.1587/transinf.2022dlp0010
https://doi.org/10.1587/transinf.2022dlp0010
Autor:
Jing Liang, Xuanxuan Ban, Kunjie Yu, Boyang Qu, Kangjia Qiao, Caitong Yue, Ke Chen, Kay Chen Tan
Publikováno v:
IEEE Transactions on Evolutionary Computation. 27:201-221
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6de446e4d60826578ecd61f3156f142
https://doi.org/10.1109/tevc.2022.3155533
https://doi.org/10.1109/tevc.2022.3155533
Publikováno v:
IEEE Transactions on Emerging Topics in Computational Intelligence. :1-15
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::377b8e8ee556976a92b1fd799e4c1a2f
https://doi.org/10.1109/tetci.2023.3236633
https://doi.org/10.1109/tetci.2023.3236633
Publikováno v:
Robotica. 41:1087-1097
With the rapid development of the national economy, the demand for electricity is also growing. Thermal power generation accounts for the highest proportion of power generation, and coal is the most commonly used combustion material. The massive comb
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cded65a9a81232d05215c4a611c3b059
https://doi.org/10.1017/s026357472200145x
https://doi.org/10.1017/s026357472200145x