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Imperial competitive algorithm optimization of fuzzy multi-objective design of a hybrid green power system with considerations for economics, reliability, and environmental emissions
Research article (Renewable Energy, 2015) · cited 96× · AI/ML
Imperial competitive algorithm optimization of fuzzy multi-objective design of a hybrid green power system with considerations for economics, reliability, and environmental emissions
Summary
Imperial competitive algorithm optimization of fuzzy multi-objective design of a hybrid green power system with considerations for economics, reliability, and environmental emissions is a scholarly article[1].
Key Facts
Imperial competitive algorithm optimization of fuzzy multi-objective design of a hybrid green power system with considerations for economics, reliability, and environmental emissions's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Imperial competitive algorithm optimization of fuzzy multi-objective design of a hybrid green power system with considerations for economics, reliability, and environmental emissions. Retrieved May 24, 2026, from https://4ort.xyz/entity/imperial-competitive-algorithm-optimization-of-fuzzy-multi-objective-design-of-a-hybrid-green-power-system-with-consider
MLA“Imperial competitive algorithm optimization of fuzzy multi-objective design of a hybrid green power system with considerations for economics, reliability, and environmental emissions.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/imperial-competitive-algorithm-optimization-of-fuzzy-multi-objective-design-of-a-hybrid-green-power-system-with-consider.
BibTeX@misc{4ortxyz_imperial-competitive-algorithm-optimization-of-fuzzy-multi-objective-design-of-a-hybrid-green-power-system-with-consider_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Imperial competitive algorithm optimization of fuzzy multi-objective design of a hybrid green power system with considerations for economics, reliability, and environmental emissions}}, year = {2026}, url = {https://4ort.xyz/entity/imperial-competitive-algorithm-optimization-of-fuzzy-multi-objective-design-of-a-hybrid-green-power-system-with-consider}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Imperial competitive algorithm optimization of fuzzy multi-objective design of a hybrid green power system with considerations for economics, reliability, and environmental emissions — https://4ort.xyz/entity/imperial-competitive-algorithm-optimization-of-fuzzy-multi-objective-design-of-a-hybrid-green-power-system-with-consider (retrieved 2026-05-24)
