SZOA: An Improved Synergistic Zebra Optimization Algorithm for Microgrid Scheduling and Management

To address the challenge of coordinating economic cost control and low-carbon objectives in microgrid scheduling, while overcoming the performance limitations of the traditional Zebra Optimization Algorithm (ZOA) in complex problems, this paper proposes a Synergistic Zebra Optimization Algorithm (SZ...

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Vydáno v:	Biomimetics (Basel, Switzerland) Ročník 10; číslo 10; s. 664
Hlavní autoři:	Cao, Lihong, Wei, Qi
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Switzerland MDPI AG 01.10.2025
Témata:	Air quality management Algorithms Alternative energy sources Analysis Batteries Carbon Cost control economic cost optimization Efficiency Emissions Emissions (Pollution) Energy consumption Energy minerals Energy resources Foraging behavior Fossil fuels Fuel cells global optimization Industrial efficiency innovation management Linear programming Mathematical optimization microgrid scheduling Operating costs Optimization algorithms Optimization techniques Pollutants Predation Renewable resources Scheduling Sustainable development Wind power Zebra Optimization Algorithm Zebra Optimization Algorithm economic cost optimization innovation management microgrid scheduling global optimization
ISSN:	2313-7673, 2313-7673
On-line přístup:	Získat plný text
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