A Genetic Algorithm Based on Combination Operators

Dual operator and inverse operator are defined as two new genetic operators respectively in this paper. Then a genetic algorithm based on inverse and dual combination operator was designed to overcome the defect of genetic algorithm in local searching, which combined with uniform crossover. The genetic algorithm is proved to be convergent. Experiments show that it has better searching performance and it has good reference to string-coded genetic algorithm in solving nonlinear optimization problems.