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Fuzzy Genetic Algorithms Based on Level Interval Algorithm

Zhang, Jinglan, Pham, Binh L., & Chen, Yi-Ping Phoebe (2001) Fuzzy Genetic Algorithms Based on Level Interval Algorithm. In Kazmierczak, E. (Ed.) 10th IEEE International Conference on Fuzzy Systems, 2-5 December, Melbourne, Australia.

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Abstract

Many decisions need to be made based on imprecise or incomplete initial information. In such cases, decision makers are generally more interested in sets of the most promising solutions rather than the best single solution. Therefore, in contrast to conventional optimisation approaches that aim to find exact optimal points, we aim to find optimal ranges with variable satisfaction degrees. This paper presents a fuzzy-set-based approach for the representation and optimisation of practical problems with imprecise property where evolutionary computation is used for obtaining fuzzy solutions through guided searching. The representation of fuzzy sets, its initialisation, crossover, mutation, and validation, the ranking approach for fuzzy objective values, and the propagation method of fuzzy information are discussed. Several examples for illustrating the fuzzy evolutionary optimisation approach are provided.

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ID Code: 2043
Item Type: Conference Paper
Keywords: fuzzy optimisation, fuzzy genetic algorithms, propagation of imprecise information
DOI: 10.1109/FUZZ.2001.1008926
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Neural Evolutionary and Fuzzy Computation (080108)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2001 IEEE
Copyright Statement: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Deposited On: 18 Oct 2005
Last Modified: 03 Mar 2011 15:41

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