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March 1, 2026Firat University Journal of Experimental and Computational EngineeringOpen Access

Risk Averse Metaheuristic Hybrid Solution Approach to Vehicle Routing Problem of Hazardous Materials Through the Combination of Game Theory and Tabu Search

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Authors

HAHakan AslanSakarya UniversityMBMichael G.H. BellThe University of Sydney

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Implication

Develops a risk-averse solution for transporting hazardous materials, suggesting new safety route strategies.

Key Points

  • The aim is to develop a risk-averse approach for optimizing the transportation of hazardous materials.
  • Integrated Tabu Search algorithm with game theory for modeling transportation routes.
  • Evaluated Nash equilibrium to determine expected costs in hazardous material routing.
  • Minimized expected loss under worst-case scenarios in the distribution network.
  • Proposed a practical solution for safe transportation routes.
  • Enhanced strategic decision-making for dispatchers regarding hazardous materials.
  • Demonstrated effectiveness of the risk-averse approach in minimizing potential losses.

Cite This Study

Aslan et al. (2026) studied this question.

synapsesocial.com/papers/69a3d7ccec16d51705d2e1b3https://doi.org/10.62520/fujece.1818151
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Also Consider

Synapse has enriched 4 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Optimization by Simulated Annealing1983 · 45,256 citations
  2. 2Scheduling of Vehicles from a Central Depot to a Number of Delivery Points1964 · 3,909 citations
  3. 3A Heuristic Algorithm for the Vehicle-Dispatch Problem1974 · 1,175 citations
  4. 4A generalized assignment heuristic for vehicle routing1981 · 1,073 citations