Hybrid approach for genetic algorithm and Taguchi's method based design optimization in the automotive industry

DOI10.1080/00207540600619932zbMath1114.90460OpenAlexW2081686299MaRDI QIDQ3430257

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Publication date: 21 March 2007

Published in: International Journal of Production Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207540600619932

zbMATH Keywords

multi-objective optimizationgenetic algorithmTaguchi's method

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (1)

Hybrid real-code ant colony optimisation for constrained mechanical design

Cites Work

• Optimization of finite element bidimensional models: An approach based on genetic algorithms
• Pareto‐based continuous evolutionary algorithms for multiobjective optimization
• Game theory approach for multiobjective structural optimization
• Optimization of robust design for multiple quality characteristics
• Signal-to-Noise Ratios, Performance Criteria, and Transformations

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