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 / M. Mussetta; S. Selleri; P. Pirinoli; R.E. Zich; L. Matekovits. - In: JOURNAL OF INTELLIGENT & FUZZY SYSTEMS. - ISSN 1064-1246. - STAMPA. - 19:(2008), pp. 75-84.
Improved Particle Swarm Optimization algorithms for electromagnetic optimization
SELLERI, STEFANO;
2008
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.I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.