Optimization Process Knowledge-Based Genetic Optimization Algorithm for Excavator Stick

Abstract

In view of the deficiencies existing in current knowledge-based global numerical optimization for excavator stick such as the insufficiency acquiring and utilizing optimization process knowledge to guide the global numerical optimization for stick, the easily falling in local optimal solution and so on, the optimization process knowledge-based genetic optimization algorithm for excavator stick is proposed. By establishing the selecting operator, crossover operator and mutation operator based on optimization process knowledge to realize the sufficiency in utilizing optimization process knowledge to guide the genetic intelligent optimization algorithm for stick. The structural optimization of ear-plate stick for medium hydraulic excavator is taken as example, which demonstrates that the genetic optimization algorithm based on optimization process knowledge for stick is feasible and efficacious.