Optimization Method for Robust Continuous Parameter Design in the Target-being-Best Based on Genetic Evolution

Abstract:

Aiming at the problem of robust continuous parameter design in the Target-being-best, in which the output value can be obtained by theoretical calculation, an optimization method based on genetic evolution is proposed. Firstly, the researched problem is described mathematically and an optimization model is established with the objective to minimize the average quality loss of a sample. Secondly, the optimization method based on genetic evolution for the researched problem is proposed. Thirdly, the genetic algorithm for robust continuous parameter design in the Target-being-best is presented and designed. Finally, the effectiveness of the proposed method is validated by case study.

• Periodical: Advanced Materials Research (Volumes 1049-1050)
• Pages: 1272-1280
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1049-1050.1272
• Online since: October 2014
• Authors: Qiang Zeng*, Ling Shen, Ze Bin Zhang
• Keywords: Continuous Parameter, Genetic Evolution, Optimization Method, Robust Parameter Design, Target-being-Best

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