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» Simplifying Particle Swarm Optimization
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GECCO
2008
Springer
145views Optimization» more  GECCO 2008»
15 years 26 days ago
Allocation of local and global search capabilities of particle in canonical PSO
This paper analyzes theoretically the exact sampling distribution of the particle swarm optimization (PSO) without any assumption imposed by all current analyses. The distribution...
Junqi Zhang, Kun Liu, Ying Tan, Xingui He
WOA
2007
15 years 28 days ago
A Swarm Intelligence Method Applied to Manufacturing Scheduling
—In this paper we present a multi-agent search technique to face the NP-hard single machine total weighted tardiness scheduling problem in presence of sequence-dependent setup ti...
Davide Anghinolfi, Antonio Boccalatte, Alberto Gro...
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MICAI
2007
Springer
15 years 6 months ago
Handling Constraints in Particle Swarm Optimization Using a Small Population Size
This paper presents a particle swarm optimizer for solving constrained optimization problems which adopts a very small population size (five particles). The proposed approach uses...
Juan Carlos Fuentes Cabrera, Carlos A. Coello Coel...
AUSAI
2005
Springer
15 years 5 months ago
Neighborhood Re-structuring in Particle Swarm Optimization
This paper considers the use of randomly generated directed graphs as neighborhoods for particle swarm optimizers (PSO) using fully informed particles (FIPS), together with dynamic...
Arvind S. Mohais, Rui Mendes, Christopher Ward, Ch...
HIS
2009
14 years 9 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...