Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Prabhujit Mohapatra"'
Autor:
S. Gopi, Prabhujit Mohapatra
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-61 (2024)
Abstract In recent years, many researchers have made a continuous effort to develop new and efficient meta-heuristic algorithms to address complex problems. Hence, in this study, a novel human-based meta-heuristic algorithm, namely, the learning cook
Externí odkaz:
https://doaj.org/article/cea282dbdc534af4aaf4ae8542a399e8
Autor:
Priteesha Sarangi, Prabhujit Mohapatra
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-26 (2024)
Abstract The Mountain Gazelle Optimizer (MGO) algorithm has become one of the most prominent swarm-inspired meta-heuristic algorithms because of its outstanding rapid convergence and excellent accuracy. However, the MGO still faces premature converge
Externí odkaz:
https://doaj.org/article/1d8e88e87ae64e8698d64bc365baeced
Autor:
Vanisree Chandran, Prabhujit Mohapatra
Publikováno v:
Heliyon, Vol 10, Iss 10, Pp e30757- (2024)
Over the last few decades, a number of prominent meta-heuristic algorithms have been put forth to address complex optimization problems. However, there is a critical need to enhance these existing meta-heuristics by employing a variety of evolutionar
Externí odkaz:
https://doaj.org/article/3e6d7fcaeab74fffbf5df2e7184a7f04
Publikováno v:
IEEE Access, Vol 12, Pp 148450-148465 (2024)
Renewable energy systems provide a dependable, environment-friendly, and cost-effective alternative for producing electricity in remote regions. The growing use of meta-heuristic algorithms is attributed to their ability to provide rapid, accurate, a
Externí odkaz:
https://doaj.org/article/a7e4919d877340abaecc37cc6bd69507
Autor:
S. Gopi, Prabhujit Mohapatra
Publikováno v:
Heliyon, Vol 10, Iss 4, Pp e26187- (2024)
Meta-heuristic algorithms are usually employed to address a variety of challenging optimization problems. In recent years, there has been a continuous effort to develop new and efficient meta-heuristic algorithms. The Aquila Optimization (AO) algorit
Externí odkaz:
https://doaj.org/article/0df9d639a40b47ab8b5e328d949fa11c
Autor:
Sarada Mohapatra, Prabhujit Mohapatra
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 16, Iss 1, Pp 1-29 (2023)
Abstract Golden Jackal Optimization (GJO) is a recently developed nature-inspired algorithm that is motivated by the collaborative hunting behaviours of the golden jackals in nature. However, the GJO has the disadvantage of poor exploitation ability
Externí odkaz:
https://doaj.org/article/d2f9d74b55be45968fd12dc1fd72dd4b
Autor:
Vanisree Chandran, Prabhujit Mohapatra
Publikováno v:
Alexandria Engineering Journal, Vol 76, Iss , Pp 429-467 (2023)
A recently developed swarm-based meta-heuristic algorithm namely Grey Wolf Optimization algorithm (GWO), which is based on the hunting and leadership behaviours of the grey wolves in nature, has shown superior performance when compared with existing
Externí odkaz:
https://doaj.org/article/dabc24244f06482c9f919a7da64111d3
Autor:
Priteesha Sarangi, Prabhujit Mohapatra
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 10, Pp 101812- (2023)
A recently established swarm-based algorithm, namely, Mountain Gazelle Optimizer (MGO) which draws inspiration from social structure and hierarchy of wild mountain gazelles is competitive for solving optimization problems. However, the MGO has some d
Externí odkaz:
https://doaj.org/article/9d865c26802841bf9358097f2557ae51
Autor:
Sarada Mohapatra, Prabhujit Mohapatra
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-51 (2023)
Abstract A novel bio-inspired meta-heuristic algorithm, namely the American zebra optimization algorithm (AZOA), which mimics the social behaviour of American zebras in the wild, is proposed in this study. American zebras are distinguished from other
Externí odkaz:
https://doaj.org/article/b771c012ea784e0db7fa4c7b22c36967
Autor:
Prabhujit Mohapatra
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 10, Pp 8955-8971 (2022)
In last few decades, the emission of greenhouse gasses has exponentially increased due to large production of electric power energy from conventional fossil fuels to pose critical environmental challenges. The renewable energies (REs) are establishin
Externí odkaz:
https://doaj.org/article/cb0404ddd72541299dd159432a49c35f