An Effective Approach for Solving Multi-objective Transportation Problem

IF 0.9 Q3 STATISTICS & PROBABILITY Journal of Reliability and Statistical Studies Pub Date : 2023-11-29 DOI:10.13052/jrss0974-8024.1618
Lakhveer Kaur, Sukhveer Singh, Ashok Singh Bhandari, Sandeep Singh, M. Ram
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Abstract

In this present study, a transportation problem is considered such that the total cost and time of transportation are minimized without taking into account their priorities. In literature, there are less techniques available for finding the efficient solutions of multi-objective transportation problem. So, we developed a heuristic algorithm to find most efficient solution of multi-objective transportation problem, which gives efficient solution with minimum difference from ideal solution. Firstly, we aim at formulating a multi-objective transportation problems along with a novel algorithm to find efficient solutions. The proposed algorithm gives optimal solution faster in comparison to other available techniques in literature for the given multi-objective transportation problem. Moreover, it avoids the degeneracy as well as requires low computational effort. Furthermore, an illustrative example is provided to show the feasibility and applicability of the proposed approach and compare the results with the existing approaches to show the effectiveness of it.
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解决多目标交通问题的有效方法
在本研究中,考虑的是一个运输问题,即在不考虑运输总成本和时间优先级的情况下,使其最小化。在文献中,找到多目标运输问题有效解决方案的技术较少。因此,我们开发了一种启发式算法来寻找多目标运输问题的最有效解,它能给出与理想解差异最小的有效解。首先,我们旨在提出一个多目标运输问题,同时提出一种新的算法来寻找有效的解决方案。对于给定的多目标运输问题,与文献中的其他现有技术相比,所提出的算法能更快地给出最优解。此外,该算法还避免了退化问题,而且计算量小。此外,还提供了一个示例来说明所提方法的可行性和适用性,并将结果与现有方法进行比较,以显示其有效性。
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来源期刊
CiteScore
1.60
自引率
12.50%
发文量
24
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