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ASIF Approach to Solve the Green Traveling Salesman Problem

Author

Listed:
  • Ahmed Haroun Sabry

    (OSIL Team LRI, National High School for Electricity and Mechanics (ENSEM), Casablanca, Morocco)

  • Jamal Benhra

    (OSIL Team LRI, National High School for Electricity and Mechanics (ENSEM), Casablanca, Morocco)

  • Abdelkabir Bacha

    (OSIL Team LRI, National High School for Electricity and Mechanics (ENSEM), Casablanca, Morocco)

Abstract

The present article describes a contribution to solve transportation problems with green constraints. The aim is to solve an urban traveling salesman problem where the objective function is the total emitted CO2. We start by adapting ASIF approach for calculating CO2 emissions to the urban logistics problem. Then, we solve it using ant colony optimization metaheuristic. The problem formulation and solving will both work under a web-based mapping platform. The selected problem is a real-world NP-hard transportation problem in the city of Casablanca.

Suggested Citation

  • Ahmed Haroun Sabry & Jamal Benhra & Abdelkabir Bacha, 2018. "ASIF Approach to Solve the Green Traveling Salesman Problem," International Journal of Operations Research and Information Systems (IJORIS), IGI Global, vol. 9(1), pages 81-95, January.
    • Handle: RePEc:igg:joris0:v:9:y:2018:i:1:p:81-95
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