Fuzzy logic integrated genetic programming for structural optimization and design
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- @Article{yang:2000:JCCE,
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author = "Yaowen Yang and Chee Kiong Soh",
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title = "Fuzzy logic integrated genetic programming for
structural optimization and design",
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journal = "Journal of Computing in Civil Engineering",
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year = "2000",
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volume = "14",
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number = "4",
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pages = "249--254",
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month = oct,
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publisher = "American Society of Civil Engineers",
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email = "cywyang@ntu.edu.sg",
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keywords = "genetic algorithms, genetic programming",
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URL = "http://www.wmich.edu/jcce/v14n4ab5.htm",
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DOI = "doi:10.1061/(ASCE)0887-3801(2000)14:4(249)",
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abstract = "A fuzzy logic integrated genetic programming (GP)
based methodology is proposed to increase the
performance of the GP based approach for structural
optimization and design. Fuzzy set theory is employed
to deal with the imprecise and vague information,
especially the design constraints, during the
structural design process. A fuzzy logic based
decision-making system incorporating expert knowledge
and experience is used to control the iteration process
of genetic search. Illustrative examples have been used
to demonstrate that, when comparing the proposed fuzzy
logic controlled GP approach with the pure GP method,
the proposed new approach has a higher search
efficiency.",
- }
Genetic Programming entries for
Yaowen Yang
Chee Kiong Soh
Citations