Particle Swarm algorithm with Fuzzy decision making for a multi-objective economic and environmental optimization of design of a thermal system

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.

Abstract

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.

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ID Code: 64587
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: Cogeneration, Environmental aspects, Thermoeconomics, Multi-Objective Particle Swarm Optimization, Fuzzy decision making, Bellman-Zadeh approach
ISBN: 9781456303006
Subjects: Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000) > NUMERICAL AND COMPUTATIONAL MATHEMATICS (010300) > Optimisation (010303)
Australian and New Zealand Standard Research Classification > ENVIRONMENTAL SCIENCES (050000) > ENVIRONMENTAL SCIENCE AND MANAGEMENT (050200) > Environmental Impact Assessment (050204)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > MECHANICAL ENGINEERING (091300) > Energy Generation Conversion and Storage Engineering (091305)
Divisions: Current > Schools > School of Chemistry, Physics & Mechanical Engineering
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2011 Please consult the authors
Deposited On: 19 Nov 2013 00:02
Last Modified: 14 Dec 2013 05:45

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