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GECCO
2009
Springer
146views Optimization» more  GECCO 2009»
14 years 2 months ago
Using a distance metric to guide PSO algorithms for many-objective optimization
In this paper we propose to use a distance metric based on user-preferences to efficiently find solutions for manyobjective problems. We use a particle swarm optimization (PSO) a...
Upali K. Wickramasinghe, Xiaodong Li
ICRA
2007
IEEE
148views Robotics» more  ICRA 2007»
14 years 1 months ago
Remote Low Frequency State Feedback Kinematic Motion Control for Mobile Robot Trajectory Tracking
— Teleoperated robots generally receive high level commands from a remote system, while accomplishing motion control through conventional means. We present a teleoperated system ...
Daniel Montrallo Flickinger, Mark A. Minor
IPSN
2007
Springer
14 years 1 months ago
Tracking multiple targets using binary proximity sensors
Recent work has shown that, despite the minimal information provided by a binary proximity sensor, a network of such sensors can provide remarkably good target tracking performanc...
Jaspreet Singh, Upamanyu Madhow, Rajesh Kumar 0003...
MM
2005
ACM
153views Multimedia» more  MM 2005»
14 years 29 days ago
Body degree zero
alization is a combination of abstract generated forms and found imagery. The frequency, amplitude, and percentage differences between samples of incoming data are mapped to forms ...
Alan Dunning, Paul Woodrow, Morley Hollenberg
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
14 years 28 days ago
MeSwarm: memetic particle swarm optimization
In this paper, a novel variant of particle swarm optimization (PSO), named memetic particle swarm optimization algorithm (MeSwarm), is proposed for tackling the overshooting probl...
Bo-Fu Liu, Hung-Ming Chen, Jian-Hung Chen, Shiow-F...