Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
An Interactive Approach To Design Parameter Optimization Considering Response Surface Prediction Errors
Date
2016-11-15
Author
Özateş, Melis
Köksal, Gülser
Köksalan, Mustafa Murat
Metadata
Show full item record
Item Usage Stats
137
views
0
downloads
Cite This
An interactive approach is presented for finding parameter settings of a product or process design that allows achieving targets for two responses as well as robustness. The approach utilizes response surface models and it allows the decision maker to consider magnitude of prediction errors in choosing the design solution.
URI
https://hdl.handle.net/11511/84092
Conference Name
INFORMS Annual Meeting (2016)
Collections
Unverified, Conference / Seminar
Suggestions
OpenMETU
Core
An interactive approach for biobjective integer programs under quasiconvex preference functions
Ozturk, Diclehan Tezcaner; Köksalan, Mustafa Murat (2016-09-01)
We develop an interactive algorithm for biobjective integer programs that finds the most preferred solution of a decision maker whose preferences are consistent with a quasiconvex preference function to be minimized. During the algorithm, preference information is elicited from the decision maker. Based on this preference information and the properties of the underlying quasiconvex preference function, the algorithm reduces the search region and converges to the most preferred solution progressively. Findin...
An interactive approximation algorithm for multi-objective integer programs
Lokman, Banu; Korhonen, Pekka J.; Wallenius, Jyrki (2018-08-01)
We develop an interactive algorithm that approximates the most preferred solution for any multi-objective integer program with a desired level of accuracy, provided that the decision maker's (DM's) preferences are consistent with a nondecreasing quasiconcave value function. Using pairwise comparisons of the DM, we construct convex cones and eliminate the inferior regions that are close to being dominated by the cones in addition to the regions dominated by the cones. The algorithm allows the DM to change th...
A formal methods approach to pattern synthesis in reaction diffusion systems
Aydın Göl, Ebru; Belta, Calin (2015-02-12)
We propose a technique to detect and generate patterns in a network of locally interacting dynamical systems. Central to our approach is a novel spatial superposition logic, whose semantics is defined over the quad-tree of a partitioned image. We show that formulas in this logic can be efficiently learned from positive and negative examples of several types of patterns. We also demonstrate that pattern detection, which is implemented as a model checking algorithm, performs very well for test data sets diffe...
AN APPROACH FOR DETERMINING THE COST MATRIX OF MULTIVARIATE QUALITY LOSS FUNCTION
Dolgun, Leman Esra; Erişkin, Levent; Özkan, Gökçe; Köksal, Gülser (2020-11-01)
Multivariate quality loss functions are commonly used in product and process design parameter optimization, which involves simultaneous consideration of multiple responses in determination of the levels of design parameters that provide high quality performance. These functions are also used in statistical tolerancing and quality improvement decision making. This study investigates the bivariate loss function in terms of its ability to represent different values or preferences a decision maker may attribute...
A fractal conductivity-based approach to mobile sensor networks in a potential field
Sedat, Nazlibilek; Aydan, Erkmen (Springer Science and Business Media LLC, 2008-06-01)
This paper presents the design of multi-robots or multiple mobile sensors and gives the results of the team behavior of them in a potential field in a collaborative manner. The aim is to prove the concept of the fractal conductivity-based approach to mobile sensor networks in a potential field. We attempted to create multi-robots having similar inherent nature, similar background knowledge, and the same mission as relevant bodies, the creation of some sort of attraction force between them is achieved with t...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
M. Özateş, G. Köksal, and M. M. Köksalan, “An Interactive Approach To Design Parameter Optimization Considering Response Surface Prediction Errors,” presented at the INFORMS Annual Meeting (2016), 2016, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/84092.