Particle Swarm is a relatively novel approach for global stochastic optimization. In this paper some variations over the basic algorithm are proposed, with the aim of a more efficient search over the solution space obtained with a negligible overhead in both complexity and speed. The presented algorithms are then applied to a mathematical test function and to a microwave microstrip filter to show their superior capabilities with respect to the conventional version.

Improved Particle Swarm Optimization Algorithms for Electromagnetic optimization

MUSSETTA, MARCO;ZICH, RICCARDO;
2008-01-01

Abstract

Particle Swarm is a relatively novel approach for global stochastic optimization. In this paper some variations over the basic algorithm are proposed, with the aim of a more efficient search over the solution space obtained with a negligible overhead in both complexity and speed. The presented algorithms are then applied to a mathematical test function and to a microwave microstrip filter to show their superior capabilities with respect to the conventional version.
2008
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/517153
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