Mahalanobis–Taguchi system applied to variable selection in automotive pedals components using Gompertz binary particle swarm optimization
Authors:
- Edgar ReséndizEdgar Reséndiz
- Carlos A. Rull-FloresCRCarlos A. Rull-Flores
- 1 June 2013
- journal article
- research article
- Published by Elsevier in Expert Systems with Applications
- Vol. 40 (7) , 2361-2365
Abstract
No abstract availableKeywords
This publication has 14 references indexed in Scilit:
- Particle swarm optimization2014
- Multi task selection including part mix, tool allocation and process plans in CNC machining centers using new binary PSO2012
- A Novel Binary Ant Colony Optimization: Application to the Unit Commitment Problem of Power SystemsJournal of Electrical Engineering & Technology, 2011
- Forecasting consumer satisfaction for vehicle ride using a multivariate measurement systemInternational Journal of Industrial and Systems Engineering, 2009
- A comparison study and discussion of the Mahalanobis-Taguchi SystemInternational Journal of Industrial and Systems Engineering, 2009
- A novel binary particle swarm optimization2007
- Applying the Mahalanobis–Taguchi System to Vehicle HandlingConcurrent Engineering, 2006
- Boolean Particle Swarm Optimization and Its Application to the Design of a Dual-Band Dual-Polarized Planar Antenna2006
- Particle Swarm Optimization Approaches to Coevolve Strategies for the Iterated Prisoner's DilemmaIEEE Transactions on Evolutionary Computation, 2005
- A discrete binary version of the particle swarm algorithm2002