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Evaluation of mixed integer linear programming solvers when applied to a biogas reactor system model
Umeå University, Faculty of Science and Technology, Department of Computing Science.
2018 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Optimization of a biogas reactor system, to maximize its profits, is a natural step to become a more competitive electricity source. This is done by first formulating mixed integer linear program (MILP), of an abstract biogas reactorsystem, which is then implemented with parameters to simulate a real biogas reactor system. Then to solve a MILP problem, a solver is used. Depending on what solver is used to solve the problem, the run-time and solution may differ a lot. That is the reason why FarmBioTech AB is interested in the evaluation of the solvers Cplex, Gurobi, Glpk, and Cbc when applied to a biogas reactor system model. The solvers are evaluated by checking if they manage to find feasible solutions that are at most 1% from the optimal solution within a run-time limit of one hour. Both Gurobi and Cplex managed to find quality solutions within the given run-time limit, while Glpk and Cbc did not.

Place, publisher, year, edition, pages
2018. , p. 34
Series
UMNAD ; 1162
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:umu:diva-155344OAI: oai:DiVA.org:umu-155344DiVA, id: diva2:1278234
External cooperation
FarmBio Tech AB
Educational program
Bachelor of Science Programme in Computing Science
Supervisors
Examiners
Available from: 2019-01-14 Created: 2019-01-14 Last updated: 2019-01-14Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf