Zobrazeno 1 - 10
of 139
pro vyhledávání: '"modified particle swarm optimisation algorithm"'
Autor:
Fathi, Masood1,2 (AUTHOR) fathi.masood@gmail.com, Rodríguez, Victoria3 (AUTHOR), Fontes, Dalila B.M.M.2,4 (AUTHOR), Alvarez, Maria Jesus1 (AUTHOR)
Publikováno v:
International Journal of Production Research. Feb2016, Vol. 54 Issue 3, p878-893. 16p. 2 Diagrams, 6 Charts.
Akademický článek
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Autor:
Zhao Liu1 kakalz@163.com, Ping Zhu1 pzhu@sjtu.edu.cn, Chao Zhu1 zhuchaoi991@foxmail.com, Wei Chen2 weichen@northwestern.edu, Ren-Jye Yang3 yangrenjye@gmail.com
Publikováno v:
International Journal of Vehicle Design. 2017, Vol. 73 Issue 1-3, p116-135. 20p.
Autor:
Singh, Gurwinder, Singh, Amarinder
Publikováno v:
International Journal of Swarm Intelligence; 2021, Vol. 6 Issue: 2 p154-167, 14p
Publikováno v:
International Journal of Computational Intelligence Studies; 2019, Vol. 8 Issue: 1-2 p122-142, 21p
Autor:
Amarinder Singh, Gurwinder Singh
Publikováno v:
International Journal of Swarm Intelligence. 1:1
Particle swarm optimisation (PSO) algorithm is renowned for its ability to deal with a wide variety of real life complex problems. The adaptive ability of PSO makes it applicable to continuous as w...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6bee509229bab4fc78f6ed763e998cf
https://doi.org/10.1504/ijsi.2021.10037054
https://doi.org/10.1504/ijsi.2021.10037054
A modified particle swarm optimisation algorithm to solve the part feeding problem at assembly lines
Publikováno v:
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
The Assembly Line Part Feeding Problem (ALPFP) is a complex combinatorial optimisation problem concerned with the delivery of the required parts to the assembly workstations in the right quantities at the right time. Solving the ALPFP includes simult
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7843f1f9927acc123f9e5dfe81ec7944
https://doi.org/10.1080/00207543.2015.1090032
https://doi.org/10.1080/00207543.2015.1090032
Publikováno v:
International Journal of Computational Intelligence Studies. 8:122
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26f3b79de30e4da79dc8f2cfe8a8b71a
https://doi.org/10.1504/ijcistudies.2019.10019172
https://doi.org/10.1504/ijcistudies.2019.10019172
Publikováno v:
International Journal of Vehicle Design. 73:116
Particle swarm optimisation (PSO) is a global optimisation algorithm, which imitates the cooperation behaviour reflected in flocks of birds, fishes, etc. Because of its simple implementation and strong optimisation capacity, the PSO algorithm is beco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64770d20e9c98ab559e0e4a78a82601c
https://doi.org/10.1504/ijvd.2017.10003402
https://doi.org/10.1504/ijvd.2017.10003402
Publikováno v:
The Journal of Engineering (2019)
The waveform optimisation problem in cognitive radar is non-convex and will have sub-optimal solutions when solved by the semi-definite relaxation (SDR) technique. Here, a novel nature-inspired waveform optimisation framework is proposed for range-sp
Externí odkaz:
https://doaj.org/article/080ead0b1a4346a48efdbf585265ae79