Multiresponse systems optimization using a goal attainment approach

By Kai Xu, Dennis K. J. Lin, Loon Ching Tang, Min Xie. 2004

56 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/58223380d926e56c4a417cc350b714df1c37f0f7

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Theory and Mathematics

1. Nuno Ricardo Costa

In Management Science and Operations Research

1. João Lourenço
2. Nuno Ricardo Costa
3. Zulema Lopes Pereira

In Statistics and Probability

1. João Lourenço
2. Nuno Ricardo Costa
3. Zulema Lopes Pereira

Citations in the corpus

• Simultaneous Optimization of Mean and Standard Deviation (2010, background): “However, this practical procedure provides a global optimal solution in many cases, in particular for the multiresponse optimization problems encountered in the RSM framework (Xu et al. 2004).”
• Desirability function approach: A review and performance evaluation in adverse conditions (2011, methodology): “Among them are those based on Compromise Programming [4], Goal Programming [5,6], Inspection of contour plots [7], Physical Programming [8,9], Probability-based [10], Performance Index [11,12], Neural Networks [13,14], and Vectorial Optimization [15].”