Parameter control and hybridization techniques in differential evolution: a survey
EN Dragoi, V Dafinescu - Artificial Intelligence Review, 2016 - Springer
Improving the performance of optimization algorithms is a trend with a continuous growth,
powerful and stable algorithms being always in demand, especially nowadays when in the …
powerful and stable algorithms being always in demand, especially nowadays when in the …
A solution to non-convex/convex and dynamic economic load dispatch problem using moth flame optimizer
Moth flame optimization algorithm is novel nature inspired heuristic paradigm inspired by
navigation method of moths in nature and based on the concept that the moth eventually …
navigation method of moths in nature and based on the concept that the moth eventually …
Study of economic load dispatch by various hybrid optimization techniques
D Santra, A Mondal, A Mukherjee - Hybrid Soft Computing Approaches …, 2016 - Springer
The economic load dispatch (ELD) is one of the most complex optimization problems of
electrical power system. Classically, it is to identify the optimal combination of generation …
electrical power system. Classically, it is to identify the optimal combination of generation …
Economic load dispatch of Nigeria integrated high voltage generation and transmission grid using BAT algorithm
VK Abanihi, KO Ovabor - Nigerian Journal of Technology, 2019 - ajol.info
A BAT algorithm to solve economic load dispatch problem of the Nigerian integrated power
system is presented in this paper. Data from Transmission Company of Nigeria (TCN) …
system is presented in this paper. Data from Transmission Company of Nigeria (TCN) …
[DOC][DOC] Survey Paper on Economic Dispatch using Neural Networks, Fuzzy Logic and Ant Colony Optimization
M ANS - researchgate.net
This paper presents a study of the research papers relating to various aspects of economic
dispatch using Neural Networks, Fuzzy Logic and Ant Colony Optimization. Neural approach …
dispatch using Neural Networks, Fuzzy Logic and Ant Colony Optimization. Neural approach …