Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Talari Ganesh"'
Publikováno v:
Computational and Mathematical Methods, Vol 2023 (2023)
This paper deals with the situation of multiple random choices along with multiple objective functions of the transportation problem. Due to the uncertainty in the environment, the choices of the cost coefficients are considered multichoice random pa
Externí odkaz:
https://doaj.org/article/2c82669be6044e8daee58da5ea53edfe
Publikováno v:
IEEE Access, Vol 9, Pp 26766-26791 (2021)
Feature selection is a critical and prominent task in machine learning. To reduce the dimension of the feature set while maintaining the accuracy of the performance is the main aim of the feature selection problem. Various methods have been developed
Externí odkaz:
https://doaj.org/article/4f5361c070e345d0beee4b21a45980f0
Publikováno v:
International Journal of Applied Metaheuristic Computing. 13:1-25
GSK algorithm is based on the concept of how humans acquire and share knowledge through their lifespan. Discrete Binary version of GSK named novel binary Gaining Sharing knowledge-based optimization algorithm (DBGSK) depends on mainly two binary stag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d25b059b00e54ea4420da994faad101b
https://doi.org/10.4018/ijamc.290541
https://doi.org/10.4018/ijamc.290541
Autor:
Ali Wagdy Mohamed, Adel F. Alrasheedi, Hijaz Ahmad, Khalid Alnowibet, Talari Ganesh, Prachi Agrawal
Publikováno v:
Computers, Materials & Continua. 70:817-829
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9889f3e0c06032f8feba449df616f089
https://doi.org/10.32604/cmc.2022.019685
https://doi.org/10.32604/cmc.2022.019685
Publikováno v:
International Journal of Swarm Intelligence Research. 13:1-24
This article proposes a novel binary version of recently developed Gaining-Sharing knowledge-based optimization algorithm (GSK) to solve binary optimization problems is proposed. GSK algorithm is based on the concept of how humans acquire and share k
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f6b94370d0a7cb95de79ff93c2702ea
https://doi.org/10.4018/ijsir.2022010110
https://doi.org/10.4018/ijsir.2022010110
Publikováno v:
International Journal of Swarm Intelligence Research. 13:1-21
This paper presents an application of Water Cycle algorithm (WCA) in solving stochastic programming problems. In particular, Linear stochastic fractional programming problems are considered which are solved by WCA and solutions are compared with Part
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14d736c88ccf43098646cebbb9fd1bd6
https://doi.org/10.4018/ijsir.2022010101
https://doi.org/10.4018/ijsir.2022010101
Publikováno v:
Soft Computing. 25:9505-9528
The gaining sharing knowledge based optimization algorithm (GSK) is recently developed metaheuristic algorithm, which is based on how humans acquire and share knowledge during their life-time. This paper investigates a modified version of the GSK alg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::153f072b3d0fc1a96424493055963258
https://doi.org/10.1007/s00500-021-05874-3
https://doi.org/10.1007/s00500-021-05874-3
Publikováno v:
Complex & Intelligent Systems. 8:43-63
This article proposes a novel binary version of recently developed Gaining Sharing knowledge-based optimization algorithm (GSK) to solve binary optimization problems. GSK algorithm is based on the concept of how humans acquire and share knowledge dur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1542276eb69b512d71c8fbd3d69b4186
https://doi.org/10.1007/s40747-021-00351-8
https://doi.org/10.1007/s40747-021-00351-8
Publikováno v:
Exploring the Consequences of the Covid-19 Pandemic ISBN: 9781003277286
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51516bc15e259c33539c39ed455284e6
https://doi.org/10.1201/9781003277286-17
https://doi.org/10.1201/9781003277286-17
Publikováno v:
Neural Computing and Applications. 33:5989-6008
To obtain the optimal set of features in feature selection problems is the most challenging and prominent problem in machine learning. Very few human-related metaheuristic algorithms were developed and solved this type of problem. It motivated us to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::165f6585198ef3981ccb75bbd005313c
https://doi.org/10.1007/s00521-020-05375-8
https://doi.org/10.1007/s00521-020-05375-8