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 |
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Main Authors: | , , , , |
Format: | Journal Article |
Language: | English |
Published: |
London
Taylor & Francis
2006
Washington, DC |
Subjects: | |
Online Access: | Get full text |
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Author | OZTURK, F KAREN, I YILDIZ, A. R KAYA, N ÖZTÜRK, N |
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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 |
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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 |
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