Particle Swarm algorithm with Fuzzy decision making for a multi-objective economic and environmental optimization of design of a thermal system
Data(s) |
01/01/2011
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Resumo |
Multi-Objective optimization for designing of a benchmark cogeneration system known as CGAM cogeneration system has been performed. In optimization approach, the thermoeconomic and Environmental aspects have been considered, simultaneously. The environmental objective function has been defined and expressed in cost terms. One of the most suitable optimization techniques developed using a particular class of search algorithms known as; Multi-Objective Particle Swarm Optimization (MOPSO) algorithm has been used here. This approach has been applied to find the set of Pareto optimal solutions with respect to the aforementioned objective functions. An example of fuzzy decision-making with the aid of Bellman-Zadeh approach has been presented and a final optimal solution has been introduced. |
Formato |
application/pdf |
Identificador | |
Publicador |
ECOS |
Relação |
http://eprints.qut.edu.au/64587/2/64587.pdf Babaie, Meisam, Sayyaadi, Hoseyn, Farmani, Mohammad Reza , & Novinzadeh, Alireza (2011) Particle Swarm algorithm with Fuzzy decision making for a multi-objective economic and environmental optimization of design of a thermal system. In ECOS 2010 Volume I (Thermodynamics), ECOS, EPFL (Lausanne), Switzerland, pp. 241-248. |
Direitos |
Copyright 2011 Please consult the authors |
Fonte |
School of Chemistry, Physics & Mechanical Engineering; Science & Engineering Faculty |
Palavras-Chave | #010303 Optimisation #050204 Environmental Impact Assessment #091305 Energy Generation Conversion and Storage Engineering #Cogeneration #Environmental aspects #Thermoeconomics #Multi-Objective Particle Swarm Optimization #Fuzzy decision making #Bellman-Zadeh approach |
Tipo |
Conference Paper |