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» Particle Swarm Optimization Using Adaptive Mutation
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109
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GPEM
2006
127views more  GPEM 2006»
15 years 18 days ago
A hierarchical particle swarm optimizer for noisy and dynamic environments
New Particle Swarm Optimization (PSO) methods for dynamic and noisy function optimization are studied in this paper. The new methods are based on the hierarchical PSO (H-PSO) and a...
Stefan Janson, Martin Middendorf
JCIT
2007
174views more  JCIT 2007»
15 years 15 days ago
Scheduling of scientific workflows using Discrete PSO Algorithm for Grids
Grid computing systems utilize distributive owned and geographically dispersed resources for providing a wide variety of services for various applications. It is possible that the...
Shajulin Benedict V. Vasudevan
112
Voted
IROS
2009
IEEE
199views Robotics» more  IROS 2009»
15 years 7 months ago
Multiswarm Particle Filter for vision based SLAM
Abstract— Particle Filters have been widely used as a powerful optimization tool for nonlinear, non-Gaussian dynamic models such as Simultaneous Localization and Mapping (SLAM) a...
Hee Seok Lee, Kyoung Mu Lee
GECCO
2004
Springer
244views Optimization» more  GECCO 2004»
15 years 6 months ago
Using Clustering Techniques to Improve the Performance of a Multi-objective Particle Swarm Optimizer
In this paper, we present an extension of the heuristic called “particle swarm optimization” (PSO) that is able to deal with multiobjective optimization problems. Our approach ...
Gregorio Toscano Pulido, Carlos A. Coello Coello
110
Voted
CEC
2005
IEEE
15 years 2 months ago
Making soccer kicks better: a study in particle swarm optimization and evolution strategies
Biomechanics is a science of examining the internal and external forces on the human body. In biomechanics, forward dynamics simulation models can be used to study optimal control ...
Namrata Khemka, Christian Jacob, Gerald Cole