Application of Flexible Tolerance Genetic Algorithm for Optimum Design of Double-Crank Mechanism

• Published in: 2008 3rd IEEE Conference on Industrial Electronics and Applications pp. 770 - 774
• Main Authors: Shang Wanfeng, Zhao Shengdun, Shen Yajing
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.06.2008

A hybrid method, a flexible tolerance genetic algorithm (FTAGA), is applied in this paper to solve a complicated engineering problem concerning synthesis optimization of a double-crank mechanism. FTAGA is based on the combination of adaptive genetic algorithm (AGA) and flexible tolerance method (FTM...