Review: Multi-objective optimization methods and application in energy saving

Multi-objective optimization problems are difficult to solve in that the optimized objectives are usually conflicting with each other. It is usually hard to find an optimal solution that satisfies all objectives from the mathematical point of view. Unlike analytical methods and classical numerical m...

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Veröffentlicht in:	Energy (Oxford) Jg. 125; S. 681 - 704
Hauptverfasser:	Cui, Yunfei, Geng, Zhiqiang, Zhu, Qunxiong, Han, Yongming
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Elsevier Ltd 15.04.2017 Elsevier BV
Schlagworte:	Algorithms analytical methods cost effectiveness emissions Emissions control Emissions reduction Energy Energy conservation Energy efficiency Energy saving Environmental protection Intelligent optimization algorithms Mathematical models Multi-objective optimization Multiple objective analysis Numerical methods Optimization Optimization algorithms Pareto optimization system optimization Trade-off solution Intelligent optimization algorithms Trade-off solution Multi-objective optimization Energy saving Emissions reduction
ISSN:	0360-5442, 1873-6785
Online-Zugang:	Volltext
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