An efficient local search heuristic with row weighting for the unicost set covering problem

2015 ◽  
Vol 246 (3) ◽  
pp. 750-761 ◽  
Author(s):  
Chao Gao ◽  
Xin Yao ◽  
Thomas Weise ◽  
Jinlong Li
2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Broderick Crawford ◽  
Ricardo Soto ◽  
Natalia Berríos ◽  
Franklin Johnson ◽  
Fernando Paredes ◽  
...  

The Set Covering Problem consists in finding a subset of columns in a zero-one matrix such that they cover all the rows of the matrix at a minimum cost. To solve the Set Covering Problem we use a metaheuristic called Binary Cat Swarm Optimization. This metaheuristic is a recent swarm metaheuristic technique based on the cat behavior. Domestic cats show the ability to hunt and are curious about moving objects. Based on this, the cats have two modes of behavior: seeking mode and tracing mode. We are the first ones to use this metaheuristic to solve this problem; our algorithm solves a set of 65 Set Covering Problem instances from OR-Library.


2007 ◽  
Vol 34 (10) ◽  
pp. 3162-3173 ◽  
Author(s):  
Joaquín Bautista ◽  
Jordi Pereira

2014 ◽  
Vol 20 (2) ◽  
pp. 143-164 ◽  
Author(s):  
Nehme Bilal ◽  
Philippe Galinier ◽  
Francois Guibault

Author(s):  
Yiyuan Wang ◽  
Shiwei Pan ◽  
Sameh Al-Shihabi ◽  
Junping Zhou ◽  
Nan Yang ◽  
...  

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