The particle swarm optimisation concept is an evolutionary computation technique employed to find optimal solutions in problems with immense solution space.
In this work, the Grid Computing together with the PSO technique is employed in order to explore Conjecture of. Bateman. This is an appropriate alternative ...
The Particle Swarm Optimisation concept is an evolutionary computation technique employed to find optimal solutions in problems with immense solution space.
The particle swarm optimisation concept is an evolutionary computation technique employed to find optimal solutions in problems with immense solution space.
Exploration of the Conjecture of Bateman Using Particle Swarm ...
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Eberhart R., Kennedy J. citations by CoLab: 7769 | Abstract. The optimization of nonlinear functions using particle swarm methodology is described.
Exploration of the Conjecture of Bateman Using Particle Swarm Optimisation and Grid Computing. ISPDC 2009: 143-150. [c3]. view. electronic edition via DOI ...
Conjecture of Bateman Solver with Particle Swarm. Optimisation and Grid Computing. • The bio-inspired algorithm: – Standard Particle Swarm Optimization. • ...
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Exploration of the Conjecture of Bateman Using Particle Swarm Optimisation and Grid Computing. Authors: Miguel Cárdenas-Montes , Antonio Gómez-Iglesias ...
In this paper, we present our first steps in grid computing applied into fusion energy, being the starting point to analyse and optimize the configuration of a ...
Exploration of the Conjecture of Bateman Using Particle Swarm Optimisation and Grid Computing. Publisher: IEEE. Date: 06-2009. DOI: 10.1109/ISPDC.2009.13.