International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 182 - Issue 23 |
Published: Oct 2018 |
Authors: M. A. I. Bhuiyan, M. S. Hossain |
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M. A. I. Bhuiyan, M. S. Hossain . An Improved Decomposition Technique for Solving Integer Linear Programming Problems. International Journal of Computer Applications. 182, 23 (Oct 2018), 17-21. DOI=10.5120/ijca2018918023
@article{ 10.5120/ijca2018918023, author = { M. A. I. Bhuiyan,M. S. Hossain }, title = { An Improved Decomposition Technique for Solving Integer Linear Programming Problems }, journal = { International Journal of Computer Applications }, year = { 2018 }, volume = { 182 }, number = { 23 }, pages = { 17-21 }, doi = { 10.5120/ijca2018918023 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2018 %A M. A. I. Bhuiyan %A M. S. Hossain %T An Improved Decomposition Technique for Solving Integer Linear Programming Problems%T %J International Journal of Computer Applications %V 182 %N 23 %P 17-21 %R 10.5120/ijca2018918023 %I Foundation of Computer Science (FCS), NY, USA
Decomposition technique is one of the most frequently used technique for solving Linear Programming Problems (LPPs) as well as Integer Linear Programming Problems (ILPPs). There are many existing techniques for solving ILPPs such as Branch and Bound method, Cutting Plane method etc. The purpose of this paper is to develop computer oriented decomposition technique for solving ILPPs using benders decomposition method. Applying decomposition technique anyone can solve ILPPs by dividing original problem into two easier problems, namely Master problem and Sub problem. This paper proposes a new technique for solving a ILLP manually and develops a computer code using a Mathematical Programming Language (AMPL). Also a comparison of manual output and programming output has been presented.