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一种新的求解最小权三角划分的免疫算法
引用本文:杨 捷,李德华,金良海,王祖喜.一种新的求解最小权三角划分的免疫算法[J].计算机工程,2007,33(21):189-191.
作者姓名:杨 捷  李德华  金良海  王祖喜
作者单位:华中科技大学图像识别与人工智能研究所图像信息处理与智能控制教育部重点实验室 武汉430074
基金项目:国家自然科学基金 , 国家高技术研究发展计划(863计划)
摘    要:提出了一种基于自适应免疫遗传算法的求解最小权三角划分(MWT)问题的方案,通过自适应地调整疫苗库的进化和有选择地注射疫苗,提高了新算法的收敛速度和全局搜索能力,结合具体的MWT问题,给出了疫苗更新与注射算子构造的具体方案。仿真实验表明,新算法能产生比免疫算法更好的划分效果,尤其适合大规模点集,有较大的实用价值。

关 键 词:最小权三角划分  免疫算法  疫苗  计算机视觉
文章编号:1000-3428(2007)21-0189-03
修稿时间:2006-11-20

Novel Immune Algorithm for Minimum Weight Triangulation
YANG Jie,LI De-hua,JIN Liang-hai,WANG Zu-xi.Novel Immune Algorithm for Minimum Weight Triangulation[J].Computer Engineering,2007,33(21):189-191.
Authors:YANG Jie  LI De-hua  JIN Liang-hai  WANG Zu-xi
Affiliation:State Commission Research Laboratory of Image Processing and Intelligent Control, Institute of Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan 430074
Abstract:The problem of minimum weight triangulation(MWT) is one of the most important issues in computer vision.This paper proposes an adaptive immune genetic algorithm(AIGA) to solve the problem.Based on the analysis of immune algorithm(IA) properties,the convergence speed of AIGA is faster than IA and the global search capability is improved with a self-adaptive adjustment method to the vaccine pool together with selected vaccination.According to the practical MWT,the strategies of updating and injecting a vaccine for the problem are both provided in the paper.Simulation results show that the algorithm performs better than IA in terms of quality of MWT,especially for the large scale of point cluster,and has good practical value.
Keywords:minimum weight triangulation(MWT)  immune algorithm(IA)  vaccine  computer vision
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