Algorithms for the minmax regret path problem with interval data
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Publication:2198244
DOI10.1016/j.ins.2018.06.016zbMath1441.90171OpenAlexW2808378693MaRDI QIDQ2198244
Francisco Pérez-Galarce, Matthew Bardeen, Alfredo Candia-Véjar, César A. Astudillo
Publication date: 9 September 2020
Published in: Information Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ins.2018.06.016
simulated annealingbranch and cutshortest path problemminmax regret model with interval dataneighbourhoods for path problems
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Cites Work
- Unnamed Item
- A note on two problems in connexion with graphs
- Optimization by Simulated Annealing
- The minmax regret robust shortest path problem in a finite multi-scenario model
- Minmax robustness for multi-objective optimization problems
- A new bound for the midpoint solution in minmax regret optimization with an application to the robust shortest path problem
- On exact solutions for the minmax regret spanning tree problem
- The robust set covering problem with interval data
- An integer linear programming formulation and heuristics for the minmax relative regret robust shortest path problem
- The computational complexity of the relative robust shortest path problem with interval data
- Exact and heuristic algorithms for the interval data robust assignment problem
- Shortest path problem with uncertain arc lengths
- A survey of very large-scale neighborhood search techniques
- Multi-objective minmax robust combinatorial optimization with cardinality-constrained uncertainty
- Minimax regret spanning arborescences under uncertain costs
- Discrete optimization with interval data. Minmax regret and fuzzy approach
- Simulated annealing algorithm for the robust spanning tree problem
- Tuning metaheuristics. A machine learning Perspective
- Min-max and min-max regret versions of combinatorial optimization problems: A survey
- An approximation algorithm for interval data minmax regret combinatorial optimization problems
- Robust discrete optimization and its applications
- On the robust shortest path problem.
- A branch and bound algorithm for the robust shortest path problem with interval data.
- A double oracle approach to minmax regret optimization problems with interval data
- A hybrid particle swarm optimization -- variable neighborhood search algorithm for constrained shortest path problems
- Interval data minmax regret network optimization problems
- An exact algorithm for the robust shortest path problem with interval data
- A Benders decomposition approach for the robust spanning tree problem with interval data
- The robust shortest path problem with interval data via Benders decomposition
- Robust shortest path problem based on a confidence interval in fuzzy bicriteria decision making
- Fine-Tuning of Algorithms Using Fractional Experimental Designs and Local Search
- Extensions of labeling algorithms for multi‐objective uncertain shortest path problems
- Minmax regret combinatorial optimization problems: an Algorithmic Perspective
- Priority-Based Genetic Algorithm for Shortest Path Routing Problem in OSPF
- Some Tractable Instances of Interval Data Minmax Regret Problems: Bounded Distance from Triviality
- Using experimental design to find effective parameter settings for heuristics