A variable-neighbourhood search algorithm for finding optimal run orders in the presence of serial correlation
From MaRDI portal
Publication:953839
DOI10.1016/j.jspi.2008.05.014zbMath1284.62475OpenAlexW2091958406MaRDI QIDQ953839
Jean-Jacques Garroi, Kenneth Sörensen, Peter Goos
Publication date: 6 November 2008
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jspi.2008.05.014
Related Items (5)
A Comparison of Three-Level Orthogonal Arrays in the Presence of Different Correlation Structures in Observations ⋮ Variable neighbourhood search: methods and applications ⋮ Quadrature Methods for Bayesian Optimal Design of Experiments With Nonnormal Prior Distributions ⋮ Variable neighbourhood search: Methods and applications ⋮ A nonlinear multidimensional knapsack problem in the optimal design of mixture experiments
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Randomized and random run order experiments
- An efficient variable neighborhood search heuristic for very large scale vehicle routing problems
- Some results on two-level factorial designs with dependent observations
- Some results on multi-level factorial designs with dependent obervations
- Variable neighborhood search
- A variable neighborhood search for graph coloring.
- Solving spread spectrum radar polyphase code design problem by tabu search and variable neighbourhood search.
- Variable neighborhood search for extremal graphs. V: Three ways to automate finding conjectures
- Solving the resource-constrained project scheduling problem by a variable neighbourhood search.
- The optimal design of blocked and split-plot experiments
- Budget constrained run orders in optimum design
- Trend robust two-level factorial designs
- Robust designs for serially correlated observations
- Error Detecting and Error Correcting Codes
- \((\mathcal D_t,C)\)-optimal run orders
This page was built for publication: A variable-neighbourhood search algorithm for finding optimal run orders in the presence of serial correlation
