Title
A study of Particle Swarm Optimization on leukocyte adhesion molecules and control strategies for smart prosthetic hand
Abstract
Hard computing based optimization algorithms usually require a lot of computational resources and generally do not have the ability to arrive at the global optimum solution. Soft computing algorithms on the other hand negate these deficiencies, by allowing for reduced computational loads and the ability to find global optimal solutions, even for complex cost surfaces. This paper presents two numerical case studies where a particle swarm optimization (PSO) algorithm is applied to biomedical problems. In particular, the problem of identifying the rupture force for leukocyte adhesion molecules and the problem of finding the correct control parameters of a robotic hand, are addressed. Simulation results indicate that PSO is a feasible alternative to the computational expensive hard computing algorithms.
Year
DOI
Venue
2008
10.1109/SIS.2008.4668324
SIS
Keywords
Field
DocType
smart prosthetic hand control,medical robotics,pd control,cellular biophysics,multifinger robotic hand,particle swarm optimisation,dexterous manipulators,soft computing algorithm,prosthetics,proportional-derivative control,rupture force identification,leukocyte adhesion molecules,molecular biophysics,particle swarm optimization,pd controller,leukocyte adhesion molecule,hard computing,prosthetic hand,optimum solution,mathematical model,soft computing,force,trajectory,global optimization
Particle swarm optimization,Mathematical optimization,PID controller,Computer science,Global optimum,Leukocyte adhesion molecule,Multi-swarm optimization,Artificial intelligence,Optimization algorithm,Soft computing,Trajectory
Conference
ISBN
Citations 
PageRank 
978-1-4244-2705-5
3
0.47
References 
Authors
1
6
Name
Order
Citations
PageRank
Cheng-Hung Chen143725.02
Ken W. Bosworth230.47
Marco P Schoen3104.54
Shawn E. Bearden430.47
D. Subbaram Naidu51710.06
Alba Perez Gracia651.56