Solution to the Selection of Cross-Border Shippers (SCBS) Problem

In this chapter, we demonstrate the ability of Cohort Intelligence (CI) methodology to solve problem of optimal selection of cross-border shippers and cargo assignments (Kulkarni et al. in European Journal of Operational Research, 2015, [1]). The problem includes various constraints related to due d...

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Bibliographic Details
Published inCohort Intelligence: A Socio-inspired Optimization Method Vol. 114; pp. 117 - 129
Main Authors Krishnasamy, Ganesh, Kulkarni, Anand Jayant, Abraham, Ajith
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 01.01.2017
Springer International Publishing
SeriesIntelligent Systems Reference Library
Subjects
Artificial intelligence
Deviational Variable
Integer Program
Local Search
North American Free Trade Agreement
Problem Size Increase
Online AccessGet full text
ISBN3319442538
9783319442532
ISSN1868-4394
1868-4408
DOI10.1007/978-3-319-44254-9_9

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Summary:In this chapter, we demonstrate the ability of Cohort Intelligence (CI) methodology to solve problem of optimal selection of cross-border shippers and cargo assignments (Kulkarni et al. in European Journal of Operational Research, 2015, [1]). The problem includes various constraints related to due dates, processing times, fund availability, and shippers’ compliance. We formulate and solve the multi-period instance of this problem as well. The performance of the CI method is compared to that of Integer Programming (IP) solution obtained using CPLEX and to specifically developed multi-random-start local search (MRSLS) method.
ISBN:3319442538
9783319442532
ISSN:1868-4394
1868-4408
DOI:10.1007/978-3-319-44254-9_9