Multi-objective particle swarm optimization with crowding distance in the optimal design of hybrid renewable energy system

Optimization techniques mimicking biological behaviours such as Genetic algorithm (GA) and Particle swarm optimization (PSO) has received significant attention and has been applied to solve real-world problems. One application is in the field of renewable energy system sizing which aims to optimize...

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Tác giả chính:	Bautista, Izrael Zenar C. (Tác giả)
Tác giả khác:	Orillaza, Jordan Rel (adviser.)
Định dạng:	Luận văn
Ngôn ngữ:	English
Những chủ đề:	Solar energy. Electric generators. Mathematical optimization. Genetic algorithms. iHOGA. Energy system sizing.