Experimental and numerical studies on multiple response optimization‐based control using iterative techniques for magnetorheological damper‐controlled structure

2021 ◽  
Author(s):  
Zubair Rashid Wani ◽  
Manzoor Tantray ◽  
Javed Iqbal Sheikh
Keyword(s):  
Magnetorheological Damper ◽  
Multiple Response ◽  
Iterative Techniques ◽  
Numerical Studies ◽  
Multiple Response Optimization ◽  
Response Optimization ◽  
Controlled Structure

Multiple response optimization of heat shock process for separation of bovine serum albumin from plasma

2017 ◽  
Vol 52 (12) ◽  
pp. 1992-2001
Author(s):  
U. A. Gonzalez ◽  
C. Menendez ◽  
H. A. Saitua ◽  
J. Rigau
Keyword(s):  
Heat Shock ◽  
Bovine Serum Albumin ◽  
Serum Albumin ◽  
Bovine Serum ◽  
Multiple Response ◽  
Shock Process ◽  
Multiple Response Optimization ◽  
Response Optimization

A Combinational Approach for Experts of Committee Machine in Wire Bonding Problem Solving

2013 ◽  
Vol 465-466 ◽  
pp. 751-755
Author(s):  
Seyed Jafar Golestaneh ◽  
Ismail Napsiah ◽  
Mohd Khairol Anuar Bin Mohd Ariffin ◽  
Say Hong Tang ◽  
Hassan Moslemi Naeini ◽  
...  
Keyword(s):  
Problem Solving ◽  
Experiment Design ◽  
Wire Bonding ◽  
Multiple Response ◽  
Committee Machine ◽  
Initial Approach ◽  
Multiple Response Optimization ◽  
Response Optimization ◽  
Modelling And Optimization ◽  
Three Phases

There are three phases to solve multiple response optimization (MRO) problems. They are experiment design, modelling and optimization. Different committee machines (CMs) are applied for modeling of MRO problem. Two kinds of CM introduced by current authors in recent works. Initial approach includs utilization of all experts in CM and finally sequentilal combinational model (SCM) is created. Current study proposes a combinational approach to filter and select the best experts to create CM which yields optimum combinational model (OCM). Also , there was another modeling with name point approach model (PAM). This study investigated two different features of different SCMs, PAM and OCM in a famous MRO problem with name wire-bonding. This problem was defined in 1997 and then, several researchers solved it in next years. The results show PAM has minimum RMSE but its global desirability is low. Also overall RMSE has a slightly fall from SCMs to OCM , whereas, there is gently rise in global desirability from SCMs to OCM and consequently proposed approach or OCM provides superior results.

Multiple response optimization in a fully automated FAB: an integrated tool and vehicle dispatching strategy∗

2004 ◽  
Vol 46 (1) ◽  
pp. 121-139 ◽  
Author(s):  
Jonah C Tyan ◽  
Timon C Du ◽  
James C Chen ◽  
Ir.-Hui Chang
Keyword(s):  
Multiple Response ◽  
Vehicle Dispatching ◽  
Multiple Response Optimization ◽  
Response Optimization

Multiple response optimization using Taguchi methodology and neuro‐fuzzy based model

2006 ◽  
Vol 17 (7) ◽  
pp. 908-925 ◽  
Author(s):  
Jiju Antony ◽  
Raj Bardhan Anand ◽  
Maneesh Kumar ◽  
M.K. Tiwari
Keyword(s):  
Multiple Response ◽  
Taguchi Methodology ◽  
Multiple Response Optimization ◽  
Neuro Fuzzy ◽  
Response Optimization

Combining chemometrics and the technique for the order of preference by similarity to ideal solution: A new approach to multiple-response optimization of HPLC compared to desirability function

2020 ◽  
Vol 155 ◽  
pp. 104752 ◽  
Author(s):  
Leila Mousavi ◽  
Zahra Tamiji ◽  
Mannan Hajimahmoodi ◽  
Mohsen Amini ◽  
Reza Ahmadkhaniha ◽  
...  
Keyword(s):  
Desirability Function ◽  
Multiple Response ◽  
Ideal Solution ◽  
New Approach ◽  
Multiple Response Optimization ◽  
Response Optimization
Sign in / Sign up

Export Citation Format

Share Document