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  • 标题:Selected multicriteria shortest path problems: An analysis of complexity, models and adaptation of standard algorithms
  • 本地全文:下载
  • 作者:Zbigniew Tarapata
  • 期刊名称:International Journal of Applied Mathematics and Computer Science
  • 电子版ISSN:2083-8492
  • 出版年度:2007
  • 卷号:17
  • 期号:2
  • DOI:10.2478/v10006-007-0023-2
  • 出版社:De Gruyter Open
  • 摘要:The paper presents selected multicriteria (multiobjective) approaches to shortest path problems. A classification of multiobjective shortest path (MOSP) problems is given. Different models of MOSP problems are discussed in detail. Methods of solving the formulated optimization problems are presented. An analysis of the complexity of the presented methods and ways of adapting of classical algorithms for solving multiobjective shortest path problems are described. A comparison of the effectiveness of solving selected MOSP problems defined as mathematical programming problems (using the CPLEX 7.0 solver) and multi-weighted graph problems (using modified Dijkstra's algorithm) is given. Experimental results of using the presented methods for multicriteria path selection in a terrain-based grid network are given
  • 关键词:multiobjective shortest path; stochastic shortest path; algorithm complexity; routing problem; terrain-based
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