| 基于密度的小生境粒子群算法在空间信息服务选择中的应用 |
| |
| 引用本文： | 吴明光,王家耀.基于密度的小生境粒子群算法在空间信息服务选择中的应用[J].测绘学院学报,2007,24(6):422-426. |
| |
| 作者姓名： | 吴明光 王家耀 |
| |
| 作者单位： | 信息工程大学测绘学院 河南郑州450052 |
| |
| 摘 要： | 针对现有空间信息服务选择技术的不足,提出了一种基于粒子群优化算法的多目标优化策略,通过同时优化多个QoS参数,产生一组满足约束条件的Pareto最优解。针对多峰函数的多目标优化问题,采用基于改进密度聚类的小生境技术,保证了解的多样性。构建了模拟试验环境,验证了算法的可行性和效率。
|
| 关 键 词： | 空间信息服务 多目标优化 粒子群算法 小生境 基于密度的聚类 |
| 文章编号： | 1673-6338（2007）06-0422-05 |
| 收稿时间： | 2007-06-12 |
| 修稿时间： | 2007-10-25 |
A Modified Particle Swarm Optimization for Solving Constrained Optimization Problems in Geospatial Services Selection |
| |
| WU Ming-guang, WANG Jia-yao.A Modified Particle Swarm Optimization for Solving Constrained Optimization Problems in Geospatial Services Selection[J].Journal of Institute of Surveying and Mapping,2007,24(6):422-426. |
| |
| Authors: | WU Ming-guang WANG Jia-yao |
| |
| Abstract: | Based on PSO this paper presented a new global optimal algorithm to resolve services selection with QoS global optimal in Geospatial services composition.Niches technique and Density Based Clustering had been used to improve the diversity of nondominated set.The niche PSO algorithm could seek the global optimal value quickly and high efficiently.The key point of this algorithm was utilized to produce a set of optimal Pareto services composition process with constraint principle by means of optimizing various objective functions simultaneously.Experimental results indicated the feasibility and efficiency of this algorithm. |
| |
| Keywords: | geospatial information service multi-objective optimization particle swarm optimization niche density based clustering |
| 本文献已被 CNKI 维普 等数据库收录！ |
