仿生群体智能算法的演示教学  

Demonstration Teaching of Swarm Intelligence Algorithm

作　　者：邱挺[1] 叶长燊[1] 李玲[1] 黄智贤[1] 王红星[1] 

机构地区：[1]福州大学石油化工学院,福建福州350108

出　　处：《化工高等教育》2014年第3期77-81,共5页Higher Education in Chemical Engineering

摘　　要：近年来,蚁群算法、蟑螂算法、微粒群算法、鱼群算法、蜂群算法等仿生算法层出不穷,由于这些群体智能算法具有良好的全局搜索能力,故在复杂的化工优化问题中得以广泛应用。因此,数值计算、优化方法等相关课程中应用演示教学法,将各种仿生算法的计算过程、算法参数对计算过程、计算性能的影响通过计算演示充分展示给学生看,可使枯燥、抽象的算法教学变得具体、形象、生动,显著提高学生的学习兴趣和教学质量。In recent years, ant colony optimization （ACO）, cockroach swarm optimization （CSO）, particle swarm optimization （PSO）, artificial fish-school algorithm （AFSA）, and artificial bee colony algorithm （ABC） have been presented one by one. These swarm intelligence algorithms have good algorithm performances, which have a wide application in the complex optimization problems. Therefore, the demonstration teaching methods have been used in the relative courses. The calculation process, the effects of parameters on the algorithm per- formance have been showed to students by demonstration, which make the teaching more specific, imaginable and vivid. The students＇ interest at learning has been improved significantly.

关 键 词：演示教学 仿生算法 群体智能 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]