Hybrid approach for genetic algorithm and Taguchi's method based design optimization in the automotive industry Advances in evolutionary computation for design and manufacturing problems

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Published in:International journal of production research Vol. 44; no. 22; pp. 4897 - 4914
Main Authors: KAREN, I, YILDIZ, A. R, KAYA, N, ÖZTÜRK, N, OZTURK, F
Format: Journal Article
Language:English
Published: London Taylor & Francis 2006
Washington, DC
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Author OZTURK, F
KAREN, I
YILDIZ, A. R
KAYA, N
ÖZTÜRK, N
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  surname: OZTURK
  fullname: OZTURK, F
  organization: Mechanical Engineering Department, Uludag University, Görükle Campus, 16059 Bursa, Turkey
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Issue 22
Keywords Fatigue life
Pareto optimum
Process planning
Multiobjective programming
Optimization
Engineering design
Design process
Genetic algorithm
Taguchi's method
Automobile industry
Multi-objective optimization
Damaging
Taguchi method
Language English
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PublicationTitle International journal of production research
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StartPage 4897
SubjectTerms Applied sciences
Exact sciences and technology
Inventory control, production control. Distribution
Mechanical engineering. Machine design
Operational research and scientific management
Operational research. Management science
Subtitle Advances in evolutionary computation for design and manufacturing problems
Title Hybrid approach for genetic algorithm and Taguchi's method based design optimization in the automotive industry
Volume 44
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