摘要
遗传算法是模拟生物进化机制新发展起来的一种搜索和优化方法 ,它是基于自然进化机制并且在寻找目标函数或在目标函数附近解决优化问题 .遗传算法已在许多领域得到应用 ,并显示出良好的发展前景 .本文介绍了一些优化方向的基本问题 ,包括理论、方法、实现技术以及应用中的普遍性问题 ,对其应用前景进行了展望 .
Genetic Algorithms are such search and optimization methods ,which have recently developed to stimulate the mechanism of natural evolution.These methods are based on those of natural evolution,and are powerful in finding the global or near global optimal soultion of optimization problems.The kinds of optimization methods have found application and have shown to be of great promising.This paper systematically introduces some fundamental aspects of the optimization methods,including their theories,methods,implemintation techniques and some common probelms related to their applications,together with a concise survey of their application status in several fields.
出处
《鞍山科技大学学报》
2000年第6期424-429,共6页
Journal of Anshan University of Science and Technology
关键词
遗传算法
优化方法
应用
genetic algorithms
optimization method
application
