Multi-objective optimization of a residential solar thermal combisystem

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Multi-objective optimization of a residential solar thermal combisystem

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作者：Anthony Rey ; Radu Zmeureanu ; ^{radu.zmeureanu@concordia.ca" class="auth_mail" title="E-mail the corresponding author}
关键词：Solar thermal combisystems ; Multi-objective optimization ; Weighted sum method ; Particle swarm optimization ; Hooke-Jeeves ; Hybrid algorithm
刊名：Solar Energy
出版年：2016
出版时间：1 December 2016
年：2016
卷：139
期：Complete
页码：622-632
全文大小：1503 K

文摘

•: Multi-objective optimization of a residential solar combisystem is proposed.
•: Three methods are compared: weighted sum with PSO/HJ, MOPSO and MOPSO/HJ.
•: A hybrid (MOPSO/HJ) is proposed to enhance the local search of MOPSO.
•: MOPSO/HJ is faster and found different design options due to better local search.

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