New models for shortest path problem with fuzzy arc lengths
نویسندگان
چکیده
منابع مشابه
New models for shortest path problem with fuzzy arc lengths
This paper considers the shortest path problem with fuzzy arc lengths. According to different decision criteria, the concepts of expected shortest path, a-shortest path and the most shortest path in fuzzy environment are originally proposed, and three types of models are formulated. In order to solve these models, a hybrid intelligent algorithm integrating simulation and genetic algorithm is pr...
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We consider the problem of finding the shortest distance between all pairs of vertices in a complete digraph on n vertices, whose arc-lengths are non-negative random variables. We describe an algorithm which solves this problem in O(n(m + n log n)) expected time, where m is the expected number of arcs with finite length. If m is small enough, this represents a small improvement over the bound i...
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This paper considers the shortest path problem on directed acyclic graphs, where the uncertainty of input data (lengths of arcs) is modeled in the form of intervals. In order to handle the interval data the minmax criterion to the regret values is applied, where the original objective function with interval coefficients is transformed into that of finding the least maximum worst-case regret, wh...
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Shortest path problem is a fundamental problem in network optimization and combinational optimization. The existing literature mainly concerned with the problem in deterministic, stochastic or fuzzy environments by using different tools. Different from the existing works, we investigate shortest path problem by regarding arc lengths as uncertain variables which are employed to describe the beha...
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ژورنال
عنوان ژورنال: Applied Mathematical Modelling
سال: 2007
ISSN: 0307-904X
DOI: 10.1016/j.apm.2005.09.001