Use of fuzzy logic to describe constraints derived from engineering judgment in genetic algorithms

IEEE Transactions on Industrial Electronics

Volumn 43, Issue 5, 1996, Pages 535-540

  Pearce, Rachel ^a,b   Cowley, Peter H ^a,b  

^a ROLLS ROYCE PLC   (United Kingdom)

^b UNIVERSITY OF SHEFFIELD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CONSTRAINT THEORY; COSTS; FUZZY SETS; INDUSTRIAL APPLICATIONS; INDUSTRIAL ENGINEERING; MAINTENANCE; OPTIMIZATION; SCHEDULING; THREE DIMENSIONAL;

INDUSTRIAL POWER SYSTEMS; SHAPE PARAMETERIZATION;

GENETIC ALGORITHMS;

EID: 0030269065     PISSN: 02780046     EISSN: None     Source Type: Journal    
DOI: 10.1109/41.538610     Document Type: Article

References (9)

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3. "Multiobjective optimization and multiple constraint handling with evolutionary algorithms II: Application example," Univ. Sheffield, Res. Rep. 565, 1995.
4. P. Husbands, "An ecosystems model for integrated production planning," Int. J. Cnmput. Integrated Manuf., vol. 6, nos. 1 & 2, pp. 74-86, 1993.
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6. William of Occam (1290-1349), University of Oxford, "Entia non sunt multiplicands praeter neccssitatem-Assumptions introduced to explain a thing must not be multiplied beyond necessity," in Everyman's Encyclopaedia. London, U.K.: Dent.
7. D. A. Goldberg, Genetic Algorithms in Search, Optimization and Machine Framing. Reading. MA: Addison-Wesley, 1989.
8. N. Radcliffe, "RPL2: A language and parallel framework for evolutionary computing," Univ. Edinburgh, Scotland, Tech. Rep. EPCC-TR94-10, 1994.
9. C. F. Silvester and K. Ma, "An Introduction to Fuzzy Logic," RollsRoyce pic, Tech. Rep. RR(OH)1326, 1994.