Crawford, Broderick and Soto, Ricardo and Aballay, Felipe and Misra, Sanjay and Johnson, Franklin and Paredes, Fernando (2015) A Teaching-Learning-Based Optimization Algorithm for Solving Set Covering Problems. In: International Conference on Computational Science and Its Applications.
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Abstract
The Set Covering Problem (SCP) is a representation of a kind of combinatorial optimization problem which has been applied in several problems in the real world. In this work we used a binary version of Teaching-Learning-Based Optimization (TLBO) algorithm to solve SCP, works with two phases known: teacher and learner; emulating the behavior into a classroom. The proposed algorithm has been tested on 65 benchmark instances. The results show that it has the ability to produce solutions competitively.
Item Type: | Conference or Workshop Item (Paper) |
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Uncontrolled Keywords: | Set Covering Problem · Teaching-Learning-Based Optimization algorithm · Combinatorial optimization · Metaheuristics |
Subjects: | Q Science > Q Science (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
Divisions: | Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science |
Depositing User: | Mrs Hannah Akinwumi |
Date Deposited: | 24 Apr 2018 13:27 |
Last Modified: | 24 Apr 2018 13:27 |
URI: | http://eprints.covenantuniversity.edu.ng/id/eprint/10675 |
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