A nonlinear multidimensional knapsack problem in the optimal design of mixture experiments
Year of publication: |
2020
|
---|---|
Authors: | Goos, Peter ; Syafitri, U. ; Sartono, B. ; Vazquez, A. R. |
Published in: |
European journal of operational research : EJOR. - Amsterdam : Elsevier, ISSN 0377-2217, ZDB-ID 243003-4. - Vol. 281.2020, 1 (16.2.), p. 201-221
|
Subject: | D- and I-optimality | Metaheuristics | Mixed integer nonlinear programming (MINLP) | Nonlinear multidimensional knapsack problem | Variable neighborhood search (VNS) algorithm | Theorie | Theory | Ganzzahlige Optimierung | Integer programming | Algorithmus | Algorithm | Nichtlineare Optimierung | Nonlinear programming | Mathematische Optimierung | Mathematical programming | Heuristik | Heuristics | Nichtlineare Regression | Nonlinear regression |
-
Terzi, Mourad, (2024)
-
Randomized decomposition solver with the quadratic assignment problem as a case study
Mihić, Krešimir, (2018)
-
An exact algorithm for the quadratic multiknapsack problem with an application to event seating
Bergman, David, (2019)
- More ...
-
The optimal design of blocked and split-plot experiments
Goos, Peter, (2001)
-
The usefulness of optimal design for generating blocked and split-plot response surface experiments
Goos, Peter, (2005)
-
Goos, Peter, (2019)
- More ...