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The relationship between multi-objective robustness concepts and set-valued optimization
- Source :
- Fixed Point Theory and Applications. 2014(1):83
- Publisher :
- Springer Nature
-
Abstract
- In this paper, we discuss the connection between concepts of robustness for multi-objective optimization problems and set order relations. We extend some of the existing concepts to general spaces and cones using set relations. Furthermore, we derive new concepts of robustness for multi-objective optimization problems. We point out that robust multi-objective optimization can be interpreted as an application of set-valued optimization. Furthermore, we develop new algorithms for solving uncertain multi-objective optimization problems. These algorithms can be used in order to solve a special class of set-valued optimization problems.
- Subjects :
- Continuous optimization
Mathematical optimization
021103 operations research
Optimization problem
Probabilistic-based design optimization
Applied Mathematics
0211 other engineering and technologies
02 engineering and technology
Multi-objective optimization
Engineering optimization
Vector optimization
robust optimization
multi-objective optimization
scalarization
vectorization
set-valued optimization
Derivative-free optimization
0202 electrical engineering, electronic engineering, information engineering
Test functions for optimization
020201 artificial intelligence & image processing
Geometry and Topology
Mathematics
Subjects
Details
- Language :
- English
- ISSN :
- 16871812
- Volume :
- 2014
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Fixed Point Theory and Applications
- Accession number :
- edsair.doi.dedup.....769eafe4de19425d8eb347dd7437ebcc
- Full Text :
- https://doi.org/10.1186/1687-1812-2014-83