A Bayesian approach to find Pareto optima in multiobjective programming problems using Sequential Monte Carlo algorithms
Year of publication: |
June 2018
|
---|---|
Authors: | Tsionas, Efthymios G. |
Published in: |
Omega : the international journal of management science. - Oxford [u.a.] : Elsevier, ISSN 0305-0483, ZDB-ID 124502-8. - Vol. 77.2018, p. 73-79
|
Subject: | Economics | Multicriteria decision making | Sequential Monte Carlo | Global optimization | Portfolio analysis | Theorie | Theory | Multikriterielle Entscheidungsanalyse | Multi-criteria analysis | Monte-Carlo-Simulation | Monte Carlo simulation | Mathematische Optimierung | Mathematical programming | Bayes-Statistik | Bayesian inference | Algorithmus | Algorithm | Portfolio-Management | Portfolio selection |
-
Multiobjective interacting particle algorithm for global optimization
Mete, Huseyin Onur, (2014)
-
Mavrotas, George, (2021)
-
A novel micro-population immune multiobjective optimization algorithm
Lin, Qiuzhen, (2013)
- More ...
-
Debt Crisis in Europe (2001-2015): A Network General Equilibrium GVAR approach
Michaelides, Panayotis G., (2018)
-
Mobility of Knowledge and Local Innovation Activity
Drivas, Kyriakos, (2014)
-
A Poisson Stochastic Frontier Model with Finite Mixture Structure
Drivas, Kyriakos, (2014)
- More ...