Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Zong-Gan Chen"'
Publikováno v:
IEEE Access, Vol 8, Pp 178322-178335 (2020)
Multimodal optimization problem (MMOP) is one of the most common problems in engineering practices that requires multiple optimal solutions to be located simultaneously. An efficient algorithm for solving MMOPs should balance the diversity and conver
Externí odkaz:
https://doaj.org/article/786e20a6b2794ecdbf3a849c65861baf
Publikováno v:
IEEE Access, Vol 7, Pp 185433-185446 (2019)
Autonomous underwater vehicles (AUVs) are robots that require path planning to complete missions in different kinds of underwater environments. The goal of path planning is to find a feasible path from the start-point to the target-point in a given e
Externí odkaz:
https://doaj.org/article/f539ca65cbbf447480db4b73c866847f
Publikováno v:
IEEE Transactions on Cybernetics. 53:1460-1474
The job-shop scheduling problem (JSSP) is a challenging scheduling and optimization problem in the industry and engineering, which relates to the work efficiency and operational costs of factories. The completion time of all jobs is the most commonly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c824fd349efe7c4e4aaae77f2ce16895
https://doi.org/10.1109/tcyb.2021.3102642
https://doi.org/10.1109/tcyb.2021.3102642
Publikováno v:
IEEE Computational Intelligence Magazine. 17:83-102
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad5e6bdc778c0bc0fcb9be9aa72746b8
https://doi.org/10.1109/mci.2022.3155330
https://doi.org/10.1109/mci.2022.3155330
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 22:6784-6798
The airline crew rostering problem (CRP) is significant for balancing the workload of crew and for improving the satisfaction rate of crew’s preferences, which is related to the fairness and satisfaction of crew. However, most existing work conside
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31553c7b2a4afa3cebf86170454ee91c
https://doi.org/10.1109/tits.2020.2994779
https://doi.org/10.1109/tits.2020.2994779
Publikováno v:
IEEE Transactions on Cybernetics. 51:5433-5444
Sensor activity scheduling is critical for prolonging the lifetime of wireless sensor networks (WSNs). However, most existing methods assume sensors to have one fixed sensing range. Prevalence of sensors with adjustable sensing ranges posts two new c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec2d1686900d7212a82d6d60f54f43b0
https://doi.org/10.1109/tcyb.2020.2977858
https://doi.org/10.1109/tcyb.2020.2977858
Publikováno v:
IEEE Transactions on Evolutionary Computation. 25:779-793
In the last decade, many evolutionary computation (EC) algorithms with diversity enhancement have been proposed to solve large-scale optimization problems in big data era. Among them, the social learning particle swarm optimization (SLPSO) has shown
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4958677a514f97f05a59e11e64ff9a0d
https://doi.org/10.1109/tevc.2021.3065659
https://doi.org/10.1109/tevc.2021.3065659
Publikováno v:
Neurocomputing. 430:58-70
With the rapid development of financial market, a growing number of stocks become available on the financial market. How to efficiently select these stocks to achieve higher return and lower risk has become a hot research topic in financial managemen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::471f417d56534162affe2cc84a2d61c9
https://doi.org/10.1016/j.neucom.2020.12.022
https://doi.org/10.1016/j.neucom.2020.12.022
Publikováno v:
IEEE Transactions on Evolutionary Computation. 24:708-719
Locating more peaks and refining the solution accuracy on the found peaks are two challenging issues in solving multimodal optimization problems (MMOPs). To deal with these two challenges, a distributed individuals differential evolution (DIDE) algor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5ef8f82d6b9b8da26a8b502e39a1f3d
https://doi.org/10.1109/tevc.2019.2944180
https://doi.org/10.1109/tevc.2019.2944180
Autor:
Zong-Gan Chen, Ying Lin, Qing Li, Jun Zhang, Tianlong Gu, Xiaofeng Chen, Huaqiang Yuan, Yue-Jiao Gong, Feng Zhao, Zhi-Hui Zhan
Publikováno v:
IEEE Transactions on Cybernetics. 49:2912-2926
Cloud workflow scheduling is significantly challenging due to not only the large scale of workflow but also the elasticity and heterogeneity of cloud resources. Moreover, the pricing model of clouds makes the execution time and execution cost two cri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c511264e96d942e1751b3c3568e3009
https://doi.org/10.1109/tcyb.2018.2832640
https://doi.org/10.1109/tcyb.2018.2832640