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 …

A solution to non-convex/convex and dynamic economic load dispatch problem using moth flame optimizer

A Bhadoria, VK Kamboj, M Sharma, SK Bath - INAE Letters, 2018 - Springer
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 …

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 …

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) …

[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 …

[인용][C] Solution of economic load dispatch using recent swarm-based meta-heuristic algorithms: A survey

FS Moustafa, NM Badra, AY Abdelaziz - International Electrical Engineering Journal, 2016