An Efficient Heuristic for Multi-Objective Bulk Transportation Problem

被引：1
|
作者：
Prakash, Satya [1 ]
Sharma, Mahesh K. [2 ]
Singh, Amarinder [3 ]
机构：
[1] Amity Sch Engn & Technol, New Delhi, India
[2] Thapar Univ, SMCA, Patiala 147004, Punjab, India
[3] Baba Banda Singh Bahadur Engn Coll, Fatehgarh Sahib, India
来源：
CIE: 2009 INTERNATIONAL CONFERENCE ON COMPUTERS AND INDUSTRIAL ENGINEERING, VOLS 1-3 | 2009年
关键词：
Multi-objective programming; Transportation problem; Bulk transportation problem; Heuristics; Pareto optimal; ALGORITHM;
D O I：
10.1109/ICCIE.2009.5223526
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
A cost-time trade-off bulk transportation problem (BTP) with the objectives to minimize the total cost and duration of the bulk transportation without according priorities to them is considered. The entire requirement of each destination is to be met from a single source only; however a source can supply to any number of destinations subject to the availability of the commodity at it. The Extremum Difference Method (EDM) is applied to obtain the set of Pareto optimal solutions of this problem. This work provides an alternate procedure to obtain the solutions obtained by Prakash et al. [9].
引用
收藏
页码：1005 / +
页数：2
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