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Minimizing carbon dioxide emission with distance for Tunisian public transportation via the dhouib-matrix-4-PMO method

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  • Souhail Dhouib
  • Jihene Jlassi Elmabrouk
  • Saima Dhouib

Abstract

One of the main causes of CO2 emissions is believed to be urban transit. It is now crucial to create a sustainable transportation system to reduce its negative effects on the environment. Therefore, the primary objective of this research is to propose a strategy for reducing both distance and carbon dioxide emissions in the context of public bus distribution in Tunisia. In this paper, we propose a Multi-Objective Traveling Salesman Problem (MOTSP) model that considers environmental factors, along with a novel metaheuristic called Dhouib-Matrix-4-PMO. In fact, DM4-PMO is based on the initial enhancement of the new Dhouib-Matrix-4 (DM4) method and is adapted to generate Pareto non-dominated set solutions. The algorithm has been evaluated, and the results demonstrate the effectiveness of the proposed methodology.

Suggested Citation

  • Souhail Dhouib & Jihene Jlassi Elmabrouk & Saima Dhouib, 2025. "Minimizing carbon dioxide emission with distance for Tunisian public transportation via the dhouib-matrix-4-PMO method," Edelweiss Applied Science and Technology, Learning Gate, vol. 9(7), pages 1920-1930.
    • Handle: RePEc:ajp:edwast:v:9:y:2025:i:7:p:1920-1930:id:9035
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