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<p>In this paper, Multi-Route Multi-Objective Traveling Salesman Problem (MRMOTSP) including the consequences of carbon emission under uncertain environment is developed and solved using RPAL-based MOQO Jaya algorithm. Expected and optimistic model is considered in this paper. The uncertain MRMOTSP is solved for 10 and 50 city nodes of Surat city. Proposed algorithm is devoid of metaphorical elements and does not necessitate any algorithm-specific parameters. The solutions are compared with the solutions obtained by established optimization techniques like hybrid GA (HGA), optimization tool CPLEX, fuzzy programming technique (FPT), Rao algorithms, and AL-based MOQO Jaya to check the efficiency of the proposed algorithm. The developed algorithm outperforms other methods by yielding superior solutions and offering a greater number of alternative solutions to the decision-maker, all within a shorter runtime when compared to alternative methods.</p>

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Multi-Route Multi-Objective TSP: mathematical model and its solution by reference point and aspiration level-based MOQO Jaya algorithm

  • 期刊论文

  • 发表日期：

    2025年3月15日

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  • Aaishwarya Bajaj,
  • Jayesh Dhodiya

摘要

In this paper, Multi-Route Multi-Objective Traveling Salesman Problem (MRMOTSP) including the consequences of carbon emission under uncertain environment is developed and solved using RPAL-based MOQO Jaya algorithm. Expected and optimistic model is considered in this paper. The uncertain MRMOTSP is solved for 10 and 50 city nodes of Surat city. Proposed algorithm is devoid of metaphorical elements and does not necessitate any algorithm-specific parameters. The solutions are compared with the solutions obtained by established optimization techniques like hybrid GA (HGA), optimization tool CPLEX, fuzzy programming technique (FPT), Rao algorithms, and AL-based MOQO Jaya to check the efficiency of the proposed algorithm. The developed algorithm outperforms other methods by yielding superior solutions and offering a greater number of alternative solutions to the decision-maker, all within a shorter runtime when compared to alternative methods.