Browsing by Subject "Biobjective integer programming"

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Open Access
An exact algorithm for biobjective integer programming problems
(Elsevier Ltd, 2021-08) Doğan, Saliha Ferda; Karsu, Özlem; Ulus, Firdevs
We propose an exact algorithm for solving biobjective integer programming problems, which arise in various applications of operations research. The algorithm is based on solving Pascoletti-Serafini scalarizations to search specified regions (boxes) in the objective space and returns the set of nondominated points. We implement the algorithm with different strategies, where the choices of the scalarization model parameters and splitting rule differ. We then derive bounds on the number of scalarization models solved; and demonstrate the performances of the variants through computational experiments both as exact algorithms and as solution approaches under time restriction. The experiments demonstrate that different strategies have advantages in different aspects: while some are quicker in finding the whole set of nondominated solutions, others return good-quality solutions in terms of representativeness when run under time restriction. We also compare the proposed approach with existing algorithms. The results of our experiments show the satisfactory behaviour of our algorithm, especially when run under time limit, as it achieves better coverage of the whole frontier with a smaller number of solutions compared to the existing algorithms.
Open Access
An exact algorithm for biobjective integer programming problems
(2019-07) Doğan, Saliha Ferda
We propose an exact algorithm to find all nondominated points of biobjective integer programming problems, which arise in various applications of operations research. The algorithm is based on dividing objective space into regions (boxes) and searching them by solving Pascoletti-Serafini scalarizations with fixed direction vector. We develop variants of the algorithm, where the choice of the scalarization model parameters differ; and demonstrate their performance through computational experiments both as exact algorithms and as solution approaches under time restriction. The results of our experiments show the satisfactory behaviour of our algorithm, especially with respect to the number of mixed integer programming problems solved compared to an existing approach. The experiments also demonstrate that different variants have advantages in different aspects: while some variants are quicker in finding the whole set of nondominated solutions, other variants return good-quality solutions in terms of representativeness when run under time restriction.