A committee machine approach to multiple response optimization
Multiple responses optimization problems have three phases including design of experiments, modeling and optimization. Artificial neural networks and genetic algorithm are applied for second and third phases. Committee machines include some experts such as some neural networks which operate together...
Main Authors: | Golestaneh, Seyed Jafar, Ismail, Napsiah, Tang, Sai Hong, Mohd Ariffin, Mohd Khairol Anuar, Naeini, Hassan Moslemi, Maghsoudi, Ali Asghar |
---|---|
Format: | Article |
Language: | English |
Published: |
Academic Journals
2011
|
Online Access: | http://psasir.upm.edu.my/id/eprint/22877/1/22877.pdf |
Similar Items
-
Higher desirability in solving multiple response optimization problems with committee machine
by: Golestaneh, Seyed Jafar, et al.
Published: (2014) -
Development of committee machine models for multiple response optimization problems
by: Golestaneh, Seyed Jafar
Published: (2014) -
Using simulated annealing algorithm for optimization of quay cranes and automated guided vehicles scheduling
by: Homayouni, Seyed Mahdi, et al.
Published: (2011) -
A review on robot motion planning approaches
by: Tang, Sai Hong, et al.
Published: (2012) -
A hybrid genetic-heuristic algorithm for scheduling of automated guided vehicles and quay cranes in automated container terminals
by: Homayouni, Seyed Mahdi, et al.
Published: (2009)