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A Teaching-Learning-Based Optimization Algorithm for Solving Set Covering Problems

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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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)
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

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