Modified Social Group Optimization—a meta-heuristic algorithm to solve short-term hydrothermal scheduling

Social Group Optimization (SGO), developed by Satapathy et al. in the year 2016, is a class of meta-heuristic optimization inspired by social behavior. It has two phases: improving phase and acquiring phase. In the improving phase, each individual improves its knowledge by interacting with the best...

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Vydáno v:	Applied soft computing Ročník 95; s. 106524
Hlavní autoři:	Naik, Anima, Satapathy, Suresh Chandra, Abraham, Ajith
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.10.2020
Témata:	Benchmark functions Fitness function evaluations Hydrothermal scheduling problem Meta-heuristic algorithm Social Group Optimization Benchmark functions Hydrothermal scheduling problem Social Group Optimization Meta-heuristic algorithm Fitness function evaluations
ISSN:	1568-4946
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