仿生优化算法及其在函数优化问题中的应用

Bionic Optimization Algorithms and Its Application in the Function Optimization

仿生优化算法是一类解决函数优化问题的更好方法.本文基于遗传算法、蚁群算法和人工鱼群算法的基本原理,探讨了各种算法在求解函数优化问题中的应用.两个典型函数极值问题的数值实验表明,这三种仿生优化算法在求解函数优化问题中具有良好的优化性能,其中鱼群算法性能最好.

The bionic optimization algorithm is a kind of better ways for solve function optimization problems.Based on the basic principles of genetic algorithm,ant colony algorithm and artificial fish swarm algorithm,in this paper,the application of the various algorithms to solve the function optimization were summarized.Through two typical numerical experiments of the function extreme value problem,the results show that three kinds of bionic optimization algorithm have good optimization performance to solve function optimization problems.By comparison,the artificial fish swarm algorithm has better performance.