摘要
人工鱼群算法是一种新型的群体智能优化算法,具有实现简单、布式计算和易于与其他智能算法结合等优点,已广泛地应用于神经网络、系统控制、人工智能等多个领域.本文给出了人工鱼群算法的基本原理,阐述了人工鱼群算法的最新的研究进展,最后展望了人工鱼群算法的发展方向.
As a kind of new intelligent bionic optimization algorithm, artificial fish-swarm algorithm is characterized as easily calculated and conjoint with other algorithms, and has been widely used in neural network, system control, artificial intelligence and other fields. Its fundamentals, research advances and prospects are discussed.
出处
《内蒙古民族大学学报（自然科学版）》
2016年第3期203-205,共3页
Journal of Inner Mongolia Minzu University：Natural Sciences
关键词
人工鱼群算法
优化问题
改进
Artificial Fish-swarm Algorithm
Optimization problems
Improvement
