Output-sensitive complexity of multiobjective combinatorial optimization

Bökler, Fritz and Ehrgott, Matthias and Morris, Christopher and Mutzel, Petra (2017) Output-sensitive complexity of multiobjective combinatorial optimization. Journal of Multi-Criteria Decision Analysis, 24 (1-2). pp. 25-36. ISSN 1057-9214

[img]
Preview
PDF (Accepted manuscript)
main.pdf - Accepted Version
Available under License Creative Commons Attribution-NonCommercial.

Download (691kB)

Abstract

We study output-sensitive algorithms and complexity for multiobjective combinatorial optimization problems. In this computational complexity framework, an algorithm for a general enumeration problem is regarded efficient if it is output-sensitive, i.e., its running time is bounded by a polynomial in the input and the output size. We provide both practical examples of MOCO problems for which such an efficient algorithm exists as well as problems for which no efficient algorithm exists under mild complexity theoretic assumptions.

Item Type:
Journal Article
Journal or Publication Title:
Journal of Multi-Criteria Decision Analysis
Additional Information:
This is the peer reviewed version of the following article Bökler F, Ehrgott M, Morris C, Mutzel P. Output-sensitive complexity of multiobjective combinatorial optimization. J Multi-Crit Decis Anal. 2017;24:25–36. https://doi.org/10.1002/mcda.1603 which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1002/mcda.1603/full This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/aacsb/disciplinebasedresearch
Subjects:
ID Code:
83972
Deposited By:
Deposited On:
13 Jan 2017 14:16
Refereed?:
Yes
Published?:
Published
Last Modified:
30 May 2020 05:05