Simulated annealing genetic hybrid algorithm and its applications

Genetic algorithm (GA) search methods are rooted in evolution mechanisms and the nature of genetics. They have been applied to a wide range of industrial applications but research shows that standard genetic algorithms have some defects such as unsatisfactory local searching ability and premature convergence. The article proposes a genetic algorithm to overcome these shortcomings. The simulated result shows that the hybrid algorithm helps the practical system achieve a better performance