Title :
Mixed integer lifted cover inequalities for knapsack problems with a single continuous variable
Author :
Avella, P. ; Boccia, M. ; Mattia, Sara
Author_Institution :
Dipt. di Ing., Univ. del Sannio, Benevento, Italy
Abstract :
We present a separation procedure for a class of valid inequalities (mixed lifted cover inequalities) for the mixed binary knapsack set with a single continuous variable. It consists of the following steps: (i) the continuous variable is fixed to a given value, (ii) a valid inequality for the corresponding binary knapsack set is computed, (iii) the inequality is lifted using an iterative procedure to become valid for the mixed integer knapsack set. Computational experience on a wide set of mixed integer programming instances from MIPLIB and Mittleman sets is carried out, showing that our cutting plane algorithm leads to significant improvement in lower bounds, with negligible additional computational effort.
Keywords :
integer programming; iterative methods; knapsack problems; set theory; MIPLIB; Mittleman sets; computational experience; cutting plane algorithm; iterative procedure; mixed binary knapsack set; mixed integer lifted cover inequalities; mixed integer programming instances; separation procedure; single continuous variable; valid inequalities; Electronic mail; Linear approximation; Linear programming; Mathematical programming; Particle separators; Programming;
Conference_Titel :
Modeling, Simulation and Applied Optimization (ICMSAO), 2013 5th International Conference on
Conference_Location :
Hammamet
Print_ISBN :
978-1-4673-5812-5
DOI :
10.1109/ICMSAO.2013.6552649