Adaptive Scalarization Methods in Multiobjective Optimization
By Gabriele Eichfelder. Vector Optimization, 2008
408 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Applied Mathematics, Computational Mechanics
View Paper: https://www.semanticscholar.org/paper/5abc1a8d3e8a28c189359a4a10bb7b7c775e1cb8
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- Zesong Fei
- Oliver Schütze
- Joydeep Dutta
- Lajos Hanzo
- Kathrin Klamroth
- Christiane Tammer
- Shaoshi Yang
- Bin Li
In Applied Mathematics
- Zesong Fei
- Oliver Schütze
- Joydeep Dutta
- Lajos Hanzo
- Kathrin Klamroth
- Christiane Tammer
- Shaoshi Yang
- Bin Li
In Computational Mechanics
- Zesong Fei
- Oliver Schütze
- Joydeep Dutta
- Lajos Hanzo
- Kathrin Klamroth
- Christiane Tammer
- Shaoshi Yang
- Bin Li
Citations in the corpus
- A new scalarization and numerical method for constructing the weak Pareto front of multi-objective optimization problems (2011, methodology): “In each algorithm, we generate a grid of weights in a similar way they are generated in [7,9,23].”
- A unified approach for different concepts of robustness and stochastic programming via non-linear scalarizing functionals (2013, methodology): “In order to illustrate this point, we will exemplary use the well-known -constraint scalarization [23,38] given below.”
- Approximating the Set of Pareto-Optimal Solutions in Both the Decision and Objective Spaces by an Estimation of Distribution Algorithm (2009, background): “, utility function) of a decision maker is not clearly defined, a good approximation to both the PF and the PS should be required by the decision maker for facilitating their decision making as argued in [17]–[20].”
- A Survey of Multi-Objective Optimization in Wireless Sensor Networks: Metrics, Algorithms, and Open Problems (2016, methodology): “As an adaptive parameter control method based on sensitivity results, the Pascoletti-Serafini scalarization method [280] is a more general formulation relying on an unrestricted search direction and an auxiliary vector variable.”
- Expensive Multiobjective Optimization by MOEA/D With Gaussian Process Model (2010, neutral): “Several approaches have been proposed for decomposing a MOP into a number of single objective optimization subproblems [36]–[39].”
- Pareto Tracer: a predictor–corrector method for multi-objective optimization problems (2018, background): “Scalarizationmethods, for instance, transform themulti-objective optimization problem (MOP) into a clever sequence of scalar optimization problems such that a finite size discretization of the solution can be gathered—see e.g. Das (1998), Miettinen (1999), Eichfelder (2008).”