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Author Madar, J. ♦ Abonyi, J. ♦ Szeifert, F.
Sponsorship World Federation on Soft Comput. ♦ European Soc. for Fuzzy Logic and Technol. ♦ European Neural Network Soc. ♦ The Warsaw School of Social Psychology (SWPS) ♦ Polish Minist. of Sci. Res. and Inf. Technol
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2005
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Constraint optimization ♦ Algorithm design and analysis ♦ Temperature ♦ Computational modeling ♦ IEC ♦ Humans ♦ Optimization methods ♦ Evolutionary computation ♦ Particle swarm optimization ♦ MATLAB
Abstract It is often desirable to simultaneously handle several objectives and constraints in practical optimization problems. In some cases, these objectives and constraints are non-commensurable and they are not explicitly/mathematically available. For this kind of problems, interactive optimization may be a good approach. Interactive optimization means that a human user evaluates the potential solutions in qualitative way. In recent years evolutionary computation (EC) was applied for interactive optimization, which approach has became known as interactive evolutionary computation (IEC). The aim of this paper is to propose a new interactive optimization method based on particle swarm optimization (PSO). PSO is a relatively new population based optimization approach, whose concept originates from the simulation of simplified social systems. The paper shows that interactive PSO cannot be based on the same concept as IEC because the information sharing mechanism of PSO significantly differs from EC. So this paper proposes an approach which considers the unique attributes of PSO. The proposed algorithm has been implemented in MATLAB (IPSO toolbox) and applied to a case-study of temperature profile design of a batch beer fermenter. The results show that IPSO is an efficient and comfortable interactive optimization algorithm. The developed IPSO toolbox (for Mat-lab) can be downloaded from the Web site of the authors:
Description Author affiliation: Dept. of Process Eng., Univ. of Veszprem, Hungary (Madar, J.; Abonyi, J.; Szeifert, F.)
ISBN 0769522866
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2005-09-08
Publisher Place Poland
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 274.80 kB
Page Count 6
Starting Page 314
Ending Page 319

Source: IEEE Xplore Digital Library