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JCIT
2007
174views more  JCIT 2007»
13 years 9 months 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
GECCO
2004
Springer
244views Optimization» more  GECCO 2004»
14 years 2 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
GECCO
2008
Springer
145views Optimization» more  GECCO 2008»
13 years 10 months 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
13 years 10 months 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...
MICAI
2007
Springer
14 years 3 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...