基于蚁群遗传算法混合编程的函数优化

Function Optimization Based on Programming Mixed Ant Colony Algorithm with Genetic Algorithm

为研究连续函数优化问题,基于图解的蚁群系统,提出二进制蚁群算法,并实现与遗传算法混合编程,以提高求解效率。算例表明,蚁群-遗传算法混合编程求解连续优化问题,收敛速度快,计算精度高,可用于求解实际工程问题。

For the study of continuous optimization problems,a binary ant colony algorithm was introduced based on graph-based ant system. To improve soluation efficiency,the ant colony algorithm programming mixed with genetic algorithm was realized. Practical example showes that the mixed language programming can solve continuous optimization problem with a faster convergence speed and a better precision in calculation,and it can be used on engineering.