Abstract
This chapter considers a fixed charged solid transportation problem where all
parameters of the problem have uncertainty due to ambiguity in the data set. These uncertain
parameters (destination budget, accessibility, necessity, conveyance capacity, and
transportation cost) are considered bounded. The problem’s solution is obtained by applying a
transformation of the interval-based model into a conventional nonlinear programming
problem. The transformed model is solved using any nonlinear programming technique. The
solution obtained by the deterministic model is an acceptable solution to the main model. An
examples with hypothetical data are explained to validate the developed model and
methodology.
About this chapter
Cite this chapter as:
A. K. Bhurjee, P. Kumar ;Fixed Charged Nonlinear Solid Transportation Problem with Budget Constraints Using Bounded Parameters, Optimization Techniques for Decision-making and Information Security Computational Intelligence for Data Analysis (2024) 3: 75. https://doi.org/10.2174/9789815196320124030009
DOI https://doi.org/10.2174/9789815196320124030009 |
Print ISSN 2810-9457 |
Publisher Name Bentham Science Publisher |
Online ISSN 2810-9465 |