An Overview of Optimization Formulations for Multiresponse Surface Problems
Explore this paper's citation graph
Summary
The foremost approaches in multiresponse optimization are categorized and integrated, and guidelines are presented to help select appropriate formulations.
- Type
- article
- Published
- 2013-02-01
- Cited by
- 56
- References
- 67
- OpenAlex
- https://openalex.org/W1989009219
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:42144049
Keywords
Process (computing), Computer science, Quality (philosophy), Mathematical optimization, Variance (accounting)
References
- A Compromise Approach to Multiresponse Optimization
- Fuzzy-Like Multiple Objective Decision Making
- The Regression Control Chart
- Modified Desirability Functions for Multiple Response Optimization
- Dual Response Optimization via Direct Function Minimization
- Joint Optimization of Mean and Standard Deviation Using Response Surface Methods
- Multiobjective Optimisation And Control
- Combining Taguchi and Response Surface Philosophies: A Dual Response Approach
- Multiobjective programming and planning
- Goal programming and multiple objective optimizations: Part 1
- Dual Response Surface Optimization: A Fuzzy Modeling Approach
- A New Loss Function-Based Method for Multiresponse Optimization
- Multiobjective Decision Making: Theory and Methodology
- A Nonlinear Programming Solution to the Dual Response Problem
- Function-transformation methods for multi-objective optimization
- A semiparametric technique for the multi‐response optimization problem
- Simultaneous Optimization of Several Response Variables
- A Theoretical Framework for Analysing the Notion of Relative Importance of Criteria
- Simultaneous optimization of mechanical properties of steel by maximizing exponential desirability functions
- Statistical Decision Theory and Bayesian Analysis, Second Edition
Cited by
- Robust factor selection in early cell culture process development for the production of a biosimilar monoclonal antibody
- Solving the Multidisciplinary Robust Parameter Design Problem for Mixed Type Quality Characteristics under Asymmetric Conditions
- A Decision Support System for Solving Multi‐Objective Redundancy Allocation Problems
- An Integrative Loss Function Approach to Multi‐Response Optimization
- Methods and Applications of Dual Response Surface Optimization : A Literature Review
- Lexicographical dynamic goal programming approach to a robust design optimization within the pharmaceutical environment
- The Taguchi Robust Design Method : Current Status and Future Directions
- Application of the Modified Genetic Algorithm to Multi-response Robust Design Based on the Entropy Weight and the Desirability Function
- A comparative study of multiresponse optimization criteria working ability
- A Weighted Mean Squared Error Approach to Multiple Response Surface Optimization
- A decremental approach with the A ⁄ algorithm for speeding-up the optimization process in dynamic shortest path problems
- Balancing Location and Dispersion Effects for Multiple Responses
- The Impacts of Errors in Factor Levels on Robust Parameter Design Optimization
- Gaussian Process Model – An Exploratory Study in the Response Surface Methodology
- A Novel Approach to Simultaneous Robust Design of Product Parameters and Tolerances Using Quality Loss and Multivariate ANOVA Concepts
- Affective Evaluation for Human-centered Lighting Environment Design : Focused on Office Spaces using LED lighting
- Optimization of friction stir welding parameters using multiple response surface methodology
- Multiresponse problems: desirability and other optimization approaches
- Optimization of problems with multivariate multiple functional responses: A case study in air quality
- Generalized Gipps-Type Vehicle-Following Models
Related papers
- Grey Wolves Attack Process for the Pareto Optimal Front Construction in the Multiobjective Optimization
- Multiobjective optimization using an aggregative gradient-based method
- Scalarizing multiobjective optimization problems and an interactive approach for multiobjective decision making
- J0110203 A gradient-based multiobjective optimization considering diversity of solutions
- Multiobjective Optimization Techniques Applied to Engineering
- Determining approximate efficient solutions of multiobjective optimization problems using the combined constrained scalarization method
- Necessary Optimality Conditions and a New Approach to Multiobjective Bilevel Optimization Problems
- Treating constraints as objectives in multiobjective optimization problems using niched Pareto genetic algorithm