The EURO Journal on Computational Optimization publishes research articles, tutorials and surveys exploring the many areas in which Operations Research and Computer Science are tightly connected to one another. The common element in all contributions chosen for publication in the journal is the use of computers for the solution of optimization problems. Coverage includes both methodological contributions and innovative applications, typically validated through convincing computational experiments. The journal is an official publication of EURO: the Association of European Operational Research Societies. This journal is indexed in the Thomson Reuters EMERGING SOURCES CITATION INDEX (WEB OF SCIENCETM CORE COLLECTION)
EURO Journal on Computational Optimization
Description
Identifiers
ISSN | 2192-4406 |
e-ISSN | 2192-4414 |
DOI | 10.1007/13675.2192-4414 |
Publisher
Springer Berlin Heidelberg
Additional information
Data set: Springer
Articles
EURO Journal on Computational Optimization > 2019 > 7 > 4 > 325-357
We consider a personalized employee scheduling problem with characteristics present in retail stores consisting of multiple departments. In the setting under study, each department generally covers its demand in employees over the planning horizon of a week by assigning shifts to its own staff. However, the employees can also be transferred to other departments under certain conditions for executing...
EURO Journal on Computational Optimization > 2019 > 7 > 4 > 359-380
The plain Newton-min algorithm for solving the linear complementarity problem (LCP) “ $$0\leqslant x\perp (Mx+q)\geqslant 0$$ 0 ⩽ x ⊥ ( M x + q ) ⩾ 0 ” can be viewed as an instance of the plain semismooth Newton method on the equational version “ $$\min (x,Mx+q)=0$$ min ( x , M x + q ) = 0 ” of the problem. This algorithm converges for any q when M is an $$\mathbf{M }$$ M -matrix,...
EURO Journal on Computational Optimization > 2019 > 7 > 4 > 381-419
Interior-point or barrier methods handle nonlinear programs by sequentially solving barrier subprograms with a decreasing sequence of barrier parameters. The specific barrier update rule strongly influences the theoretical convergence properties as well as the practical efficiency. While many global and local convergence analyses consider a monotone update that decreases the barrier parameter for...