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GECCO
2007
Springer
199views Optimization» more  GECCO 2007»
13 years 11 months ago
Multi-objective particle swarm optimization on computer grids
Abstract. In recent years, a number of authors have successfully extended particle swarm optimization to problem domains with multiple objectives. This paper addresses the issue of...
Sanaz Mostaghim, Jürgen Branke, Hartmut Schme...
CEC
2009
IEEE
13 years 11 months ago
Heterogeneous particle swarm optimizers
— Particle swarm optimization (PSO) is a swarm intelligence technique originally inspired by models of flocking and of social influence that assumed homogeneous individuals. Du...
Marco Antonio Montes de Oca, Jorge Peña, Th...
IJCSA
2007
110views more  IJCSA 2007»
13 years 4 months ago
Multiprocessor Scheduling Using Hybrid Particle Swarm Optimization with Dynamically Varying Inertia
The problem of task assignment in heterogeneous computing systems has been studied for many years with many variations. We have developed a new hybrid approximation algorithm. The...
S. N. Sivanandam, P. Visalakshi, A. Bhuvaneswari
HIS
2009
13 years 2 months ago
Scheduling Meta-Tasks in Distributed Heterogeneous Computing Systems: A Meta-Heuristic Particle Swarm Optimization Approach
Scheduling is a key problem in distributed heterogeneous computing systems in order to benefit from the large computing capacity of such systems and is an NP-complete problem. In ...
Hesam Izakian, Ajith Abraham, Václav Sn&aac...
ICONIP
2004
13 years 6 months ago
Evaluation of Comprehensive Learning Particle Swarm Optimizer
Abstract. Particle Swarm Optimizer (PSO) is one of the evolutionary computation techniques based on swarm intelligence. Comprehensive Learning Particle Swarm Optimizer (CLPSO) is a...
Jing J. Liang, A. Kai Qin, Ponnuthurai N. Sugantha...