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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| Formato: | Thesis |
| Idioma: | English |
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