Multiple-objective genetic algorithm using the multiple criteria decision making method TOPSIS
Year of publication: |
2009
|
---|---|
Authors: | Méndez, Máximo ; Galván, Blas ; Salazar, Daniel ; Greiner, David |
Published in: |
Multiobjective programming and goal programming : theoretical results and practical applications. - Berlin : Springer, ISBN 978-3-540-85645-0. - 2009, p. 145-154
|
Subject: | Multikriterielle Entscheidungsanalyse | Multi-criteria analysis | Evolutionärer Algorithmus | Evolutionary algorithm | Ganzzahlige Optimierung | Integer programming | Theorie | Theory |
Extent: | graph. Darst. |
---|---|
Type of publication: | Article |
Type of publication (narrower categories): | Aufsatz im Buch ; Book section |
Language: | English |
Notes: | TOPSIS = Technique for Order Preferences by Similiarity to an Ideal Solution |
Source: | ECONIS - Online Catalogue of the ZBW |
-
An interactive genetic algorithm applied to the multiobjective knapsack problem
Pamuk, Selcen, (2001)
-
Air refueling tanker allocation based on a multi-objective zero-one integer programming model
Ferdowsi, Farzaneh, (2020)
-
Bi-objective green ride-sharing problem : model and exact method
Yu, Yang, (2019)
- More ...
-
Talavera, Alejandro, (2013)
-
A robust-solution-based methodology to solve multiple-objective problems with uncertainty
Salazar, Daniel, (2009)
-
Optimization of constrained multiple-objective reliability problems using evolutionary algorithms
Salazar, Daniel, (2006)
- More ...