A sort-based improved real-code genetic algorithm
As an adaptive global optimize method by probabilistic search, genetic algorithm had been comprehensively used in many engineering realms. But some disadvantages of this method such as slow convergence speed and local optimization confined further applications. Improved genetic algorithm in speed of convergence and the rate of obtain the optimal solution improved significantly by combine and sort parent-child generations, applying improved proportional selection, anticipative crossover, additive gauss-mutation and so on. Improved genetic algorithm has excellent performance, good universality, suitable for promotion and application.