Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Moumita Pradhan"'
Publikováno v:
Je-LKS: Journal of E-Learning and Knowledge Society, Vol 19, Iss 3 (2023)
This study examines the importance of integration of pedagogy and technology in secondary science classroom of India in light of the COVID-19 pandemic. The researchers in this study focused on four types schools. Twenty-two teachers and eighty studen
Externí odkaz:
https://doaj.org/article/95fd23d7812c412080ae853be621d872
Publikováno v:
Ain Shams Engineering Journal, Vol 9, Iss 4, Pp 2015-2025 (2018)
This article proposes an efficient meta-heuristic approach, namely, oppositional grey wolf optimization (OGWO) algorithm for resolving the optimal operating strategy of economic load dispatch (ELD) problem. The proposed algorithm combines two basic c
Externí odkaz:
https://doaj.org/article/a5863aab320844ab8c029e72af1e5a98
Publikováno v:
Ain Shams Engineering Journal, Vol 9, Iss 3, Pp 423-440 (2018)
Economic load dispatch (ELD) is the process of allocating the committed units such that the constraints imposed are satisfied and the production cost is minimized. This paper presents a novel and heuristic algorithm for solving complex ELD problem, b
Externí odkaz:
https://doaj.org/article/fb361056603b443b93972caf6e8ea60e
Publikováno v:
Ain Shams Engineering Journal, Vol 9, Iss 1, Pp 31-43 (2018)
In this paper, krill herd algorithm (KHA) technique is employed to solve the short-term hydrothermal scheduling (HTS) problem. In this article, the potentialities of DE are used in KHA technique to improve the convergence speed and robustness. The pr
Externí odkaz:
https://doaj.org/article/5c2a1bfe03cf4427becfe9795cbaacb2
Publikováno v:
International Journal of Swarm Intelligence Research. 12:1-36
This article describes an efficient and reliable strategy for the scheduling of nonlinear multi-objective hydrothermal power systems using the grey wolf optimization (GWO) technique. Moreover, the theory of oppositional-based learning (OBL) is integr
Publikováno v:
Data & Knowledge Engineering. 144:102118
Publikováno v:
Ain Shams Engineering Journal, Vol 9, Iss 4, Pp 2015-2025 (2018)
This article proposes an efficient meta-heuristic approach, namely, oppositional grey wolf optimization (OGWO) algorithm for resolving the optimal operating strategy of economic load dispatch (ELD) problem. The proposed algorithm combines two basic c
Publikováno v:
International Journal of Energy Optimization and Engineering. 6:79-97
In this paper, an oppositional backtracking search algorithm (OBSA) is proposed to solve the large scale economic load dispatch (ELD) problem. The main drawback of the conventional backtracking search algorithm (BSA) is that it produces a local optim
Every day humans face new challenges to survive in this world. It is a big challenge to utilize hydro and thermal generating unit properly. Researchers are trying to explore new techniques to improve scheduling of generating units. Environmental matt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e7051254720dd43171e7f8c1a40a840
https://doi.org/10.4018/978-1-7998-3222-5.ch016
https://doi.org/10.4018/978-1-7998-3222-5.ch016
Publikováno v:
International Journal of Electrical Power & Energy Systems. 83:325-334
This article presents a new evolutionary optimization approach named grey wolf optimization (GWO), which is based on the behaviour of grey wolves, for the optimal operating strategy of economic load dispatch (ELD). Nonlinear characteristics of genera