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IPPS
2007
IEEE
14 years 4 months ago
Distributed Adaptive Particle Swarm Optimizer in Dynamic Environment
Particle Swarm Optimization (PSO) is a population-based stochastic optimization technique, which can be used to find an optimal, or near optimal, solution to a numerical and quali...
Xiaohui Cui, Thomas E. Potok
HPCC
2007
Springer
14 years 1 months ago
A New Method for Multi-objective TDMA Scheduling in Wireless Sensor Networks Using Pareto-Based PSO and Fuzzy Comprehensive Judg
In wireless sensor networks with many-to-one transmission mode, a multi-objective TDMA (Time Division Multiple Access) scheduling model is presented, which concerns about the packe...
Tao Wang, Zhiming Wu, Jianlin Mao
ROBIO
2006
IEEE
208views Robotics» more  ROBIO 2006»
14 years 3 months ago
Stiffness Optimization of a 3-DOF Parallel Kinematic Machine Using Particle Swarm Optimization
Abstract— In this paper, the architectural parameters optimization of a three-prismatic-universal-universal (3-PUU) parallel kinematic machine (PKM) with three translational degr...
Qingsong Xu, Yangmin Li
IPPS
2009
IEEE
14 years 4 months ago
Adaptative clustering Particle Swarm Optimization
—The performance of Particle Swarm Optimization (PSO) algorithms depends strongly upon the interaction among the particles. The existing communication topologies for PSO (e.g. st...
Salomão S. Madeiro, Carmelo J. A. Bastos Fi...
HPDC
2010
IEEE
13 years 11 months ago
Improving the Hadoop map/reduce framework to support concurrent appends through the BlobSeer BLOB management system
Hadoop is a reference software framework supporting the Map/Reduce programming model. It relies on the Hadoop Distributed File System (HDFS) as its primary storage system. Althoug...
Diana Moise, Gabriel Antoniu, Luc Bougé