Title
Solving discrete multi-objective optimization problems using modified augmented weighted Tchebychev scalarizations.
Abstract
•We contribute the modified augmented weighted (MAWT) norm.•We describe an algorithm which, under very general assumptions, generates the full non-dominated set for a discrete multi-objective problem.•Our algorithm performs comparably with two recently published algorithms, and appears to excel in comparison as the number of objectives increases.
Year
DOI
Venue
2018
10.1016/j.ejor.2018.05.036
European Journal of Operational Research
Keywords
Field
DocType
Multiple objective programming,Tchebychev norm,Computational optimization,Generating methods
Mathematical optimization,Computational optimization,Multi-objective optimization,Multiple objective programming,Optimization problem,Mathematics
Journal
Volume
Issue
ISSN
271
2
0377-2217
Citations 
PageRank 
References 
4
0.39
26
Authors
2
Name
Order
Citations
PageRank
Tim Holzmann140.39
J. Cole Smith261043.34