Multi-Constrained Optimal Path Algorithm in Multi-Weighted Graphs
Efficient path query processing is a key requirement for advanced database applications including GIS (Geographic Information Systems) and ITS (Intelligent Transportation Systems). Querying an optimal path satisfying a set of constraints in Multi-Weighted Graphs (MWG) that ones per edge corresponds to multiple weights, is NP-complete. Traditional heuristic algorithm reduces the NP-complete problem to a simpler one which can be solved in polynomial time.But it couldnt ensure to find a solution all the time. In this paper we apply the lagrange relaxation to traditional heuristic algorithm to increase the chance of find a possible solution. We prove the correctness of our algorithm by experiment and analysis.
Lai Wei Yong-gui Zou Dong-wook Lee Hae-young Bae
Sino-Korea ChongQing GIS Research Center, College of Computer Science,Chongqing univ. of Posts & Tel Dept. of Computer Science & Engineering, Inha University Younghyun-dong, Nam-ku, Incheon, 402-751, K
国际会议
重庆
英文
220-223
2007-04-24(万方平台首次上网日期,不代表论文的发表时间)