Improved Particle Swarm optimization algorithms for electromagnetic optimization

Marco Mussetta; Stefano Selleri; Paola Pirinoli; Riccardo E. Zich; Ladislau Matekovits

Improved Particle Swarm optimization algorithms for electromagnetic optimization

Marco Mussetta^*, Stefano Selleri, Paola Pirinoli, Riccardo E. Zich, Ladislau Matekovits

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

26 Citations (Scopus)

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.

Original language	English
Pages (from-to)	75-84
Number of pages	10
Journal	Journal of Intelligent and Fuzzy Systems
Volume	19
Issue number	1
Publication status	Published - 2008
Externally published	Yes

Keywords

Genetic algorithm
Optimization
Particle swarm

Cite this

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title = "Improved Particle Swarm optimization algorithms for electromagnetic optimization",

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.",

keywords = "Genetic algorithm, Optimization, Particle swarm",

author = "Marco Mussetta and Stefano Selleri and Paola Pirinoli and Zich, \{Riccardo E.\} and Ladislau Matekovits",

year = "2008",

language = "English",

volume = "19",

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journal = "Journal of Intelligent and Fuzzy Systems",

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T1 - Improved Particle Swarm optimization algorithms for electromagnetic optimization

AU - Mussetta, Marco

AU - Selleri, Stefano

AU - Pirinoli, Paola

AU - Zich, Riccardo E.

AU - Matekovits, Ladislau

PY - 2008

Y1 - 2008

N2 - 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.

AB - 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.

KW - Genetic algorithm

KW - Optimization

KW - Particle swarm

UR - https://www.scopus.com/pages/publications/42149194379

M3 - Article

AN - SCOPUS:42149194379

SN - 1064-1246

VL - 19

SP - 75

EP - 84

JO - Journal of Intelligent and Fuzzy Systems

JF - Journal of Intelligent and Fuzzy Systems

IS - 1

ER -

Improved Particle Swarm optimization algorithms for electromagnetic optimization

Abstract

Keywords

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