Title: Application Study of an Improved Chaos Genetic Algorithm
Abstract: This paper presents an improved genetic algorithm based on chaotic characteristics, main combining with the rapid global convergence of genetic algorithm and optimization of chaotic sequence, through the singularity and the complexity of chaotic system to improve mutation operator of algorithm to obtain a better multi-objective optimal solution.At the same time, the application of the improved algorithm to the test process not only enriches the multi-objective optimization theory, but also provides an effective way to design an effective chaotic genetic algorithm.