Related references
Note: Only part of the references are listed.optimization of friction welding parameters using evolutionary computational techniques
R. Sathiya et al.
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY (2009)
Neural Network Modeling and Particle Swarm Optimization (PSO) of Process Parameters in Pulsed Laser Micromachining of Hardened AISI H13 Steel
J. Ciurana et al.
MATERIALS AND MANUFACTURING PROCESSES (2009)
Multi-objective optimization of electrochemical machining process parameters using a particle swarm optimization algorithm
R. V. Rao et al.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE (2008)
Evolutionary and genetic algorithms applied to Li+-C system:: Calculations using differential evolution and particle swarm algorithm
N. Chakraborti et al.
JOURNAL OF PHASE EQUILIBRIA AND DIFFUSION (2007)
Optimization of surface grinding operations using a differential evolution approach
A. Gopala Krishna
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY (2007)
Genetic algorithms applied to Li+ ions contained in carbon nanotubes:: An investigation using particle swarm optimization and differential evolution along with molecular dynamics
N. Chakraborti et al.
MATERIALS AND MANUFACTURING PROCESSES (2007)
Identification of constitutive material model parameters for high-strain rate metal cutting conditions using evolutionary computational algorithms
Tugrul Oezel et al.
MATERIALS AND MANUFACTURING PROCESSES (2007)
PSO-based neural network optimization and its utilization in a boring machine
Jialin Zhou et al.
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY (2006)
A study of particle swarm optimization particle trajectories
F van den Bergh et al.
INFORMATION SCIENCES (2006)
An application of swarm optimization to nonlinear programming
Y Dong et al.
COMPUTERS & MATHEMATICS WITH APPLICATIONS (2005)
Comparison among five evolutionary-based optimization algorithms
E Elbeltagi et al.
ADVANCED ENGINEERING INFORMATICS (2005)
Combined Taguchi and dual response method for optimization of a centerless grinding operation
MN Dhavlikar et al.
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY (2003)
A multi-objective genetic algorithm (GA) approach for optimization of surface grinding operations
R Saravanan et al.
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE (2002)
Share Paper
