The Improved Hybrid Genetic Algorithm of Constrained Optimization Problems

A mixed strategy of penalty function and repair was proposed and the penalty function was improved.The precocious degree evaluation index of population was given.The crossover operator of genetic algorithm was improved and the difficulties were solved which by only using penalty function to solve constrained optimization problem.This facilitated the genetic algorithm in using of constrained optimization problem,and improved the adaptability of genetic algorithm in the application of mechanical and engineering.Numerical experiments show that the method is efficient than traditional genetic algorithm in dealing with constrained optimization problems.