Zobrazeno 1 - 10
of 98
pro vyhledávání: '"Margaret M. Wiecek"'
Publikováno v:
Optimization. :1-35
Publikováno v:
Annals of Operations Research. 320:123-172
Publikováno v:
Annals of Operations Research. 319:1477-1478
Autor:
Margaret M. Wiecek, Michael Stiglmayr, Konstantin Kraus, Tobias Dietz, Kathrin Klamroth, Luca E. Schäfer, Stefan Ruzika, Britta Schulze
Publikováno v:
European Journal of Operational Research. 280:581-596
This article focuses on the optimization of a complex system which is composed of several subsystems. On the one hand, these subsystems are subject to multiple objectives, local constraints as well as local variables, and they are associated with an
Publikováno v:
Journal of Multi-Criteria Decision Analysis. 27:189-202
Publikováno v:
European Journal of Operational Research. 273:20-30
Decision making in the presence of uncertainty and multiple conflicting objectives is a real-life issue in many areas of human activity. To address this type of problem, we study highly robust (weakly) efficient solutions to uncertain multiobjective
Publikováno v:
Journal of Multi-Criteria Decision Analysis. 25:177-188
Autor:
Lakmali Weerasena, Margaret M. Wiecek
Publikováno v:
Optimization Letters. 13:3-21
The multiobjective set covering problem (MOSCP), an NP-hard combinatorial optimization problem, has received limited attention in the literature from the perspective of approximating its Pareto set. The available algorithms for approximating the Pare
Publikováno v:
Annals of Operations Research. 271:487-525
Robust optimization addressing decision making under uncertainty has been very well developed for problems with a single objective function and applied to areas of human activity such as portfolio selection, investment decisions, signal processing, a
Autor:
Boris Naujoks, Margaret M. Wiecek, Kathrin Klamroth, Stefan Ruzika, Serpil Sayin, Xin Yao, Robin C. Purshouse, Günter Rudolph, Silvia Poles, Sanaz Mostaghim
Publikováno v:
Journal of Multi-Criteria Decision Analysis. 24:71-81
In practical situations, complex systems are often composed of subsystems or subproblems with single or multiple objectives. These subsystems focus on different aspects of the overall system, but they often have strong interactions with each other an