Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Ali Khater Mohamed"'
Publikováno v:
IEEE Access, Vol 9, Pp 65934-65946 (2021)
As optimization algorithms have a great power to solve nonlinear, complex, and hard optimization problems, nature-inspired algorithms have been applied extensively in distinct fields in order to solve real life optimization cases. In this paper, modi
Externí odkaz:
https://doaj.org/article/0c54b0e7262448e5bd279a112f509186
Publikováno v:
IEEE Access, Vol 9, Pp 68629-68662 (2021)
During last two decades, Differential Evolution (DE) proved to be one of the most popular and successful evolutionary algorithms for solving global optimization problems over continuous space. Proposing new mutation strategies to improve the optimiza
Externí odkaz:
https://doaj.org/article/acdc988fb66b40d784e65756d1ba2a7a
Publikováno v:
Neural Computing and Applications. 35:1493-1517
To develop new meta-heuristic algorithms and evaluate on the benchmark functions is the most challenging task. In this paper, performance of the various developed meta-heuristic algorithms are evaluated on the recently developed CEC 2021 benchmark fu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fee9f8e38d0ae5c0933f3a91048a1a2c
https://doi.org/10.1007/s00521-022-07788-z
https://doi.org/10.1007/s00521-022-07788-z
Publikováno v:
Handbook of Nature-Inspired Optimization Algorithms: The State of the Art ISBN: 9783031075117
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d03250a3f742fa0193164070b424354
https://doi.org/10.1007/978-3-031-07512-4_8
https://doi.org/10.1007/978-3-031-07512-4_8
Publikováno v:
International Series in Operations Research & Management Science ISBN: 9783030870188
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2e2bd44585f812adce10b78714a5cf7
https://doi.org/10.1007/978-3-030-87019-5_18
https://doi.org/10.1007/978-3-030-87019-5_18
Publikováno v:
International Journal of Machine Learning and Cybernetics. 11:1501-1529
This paper proposes a novel nature-inspired algorithm called Gaining Sharing Knowledge based Algorithm (GSK) for solving optimization problems over continuous space. The GSK algorithm mimics the process of gaining and sharing knowledge during the hum
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c540b1dad6245cefc9b09e962026ecf0
https://doi.org/10.1007/s13042-019-01053-x
https://doi.org/10.1007/s13042-019-01053-x
Publikováno v:
International Journal of Applied Metaheuristic Computing. 10:1-28
The performance of Differential Evolution is significantly affected by the mutation scheme, which attracts many researchers to develop and enhance the mutation scheme in DE. In this article, the authors introduce an enhanced DE algorithm (EDDE) that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b737915f75df9c623be2952616e1abb
https://doi.org/10.4018/ijamc.2019010101
https://doi.org/10.4018/ijamc.2019010101
Publikováno v:
CEC
The initiative to introduce new benchmark problems has drawn attention to the development of new optimization algorithms. Recently, a set of constrained benchmark problems has been developed as a addition to CEC benchmark series. This paper proposed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b79e558bbfd6723f85f06976a5566257
https://doi.org/10.1109/cec45853.2021.9504814
https://doi.org/10.1109/cec45853.2021.9504814
Publikováno v:
NILES
The effort devoted in introducing new numerical optimization benchmarks has attracted the attention to develop new optimization algorithms to solve them. Very recently, a new suite on bound constrained optimization problems is proposed as a new addit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2eb7b876ca20c8019d8642a9a17af05a
https://doi.org/10.1109/niles50944.2020.9257924
https://doi.org/10.1109/niles50944.2020.9257924
Publikováno v:
NILES
Over the last two decades, the neural network has surprisingly arisen as an efficient tool for dealing with numerous real-life applications. Optimization of the hyperparameter of the neural network attracted many researchers in industrial and researc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::950669d8a9e129af0634f3f257117008
https://doi.org/10.1109/niles50944.2020.9257880
https://doi.org/10.1109/niles50944.2020.9257880