Swarm-based algorithms emerged as a powerful family of optimization techniques, inspired by the collective behavior of social animals. In particle swarm optimization (PSO) the set of candidate solutions to the optimization problem is defined as a swarm of particles which may flow through the parameter space defining trajectories which are driven by their own and neighbors' best performances. In the present paper, the potential of particle swarm optimization for solving various kinds of optimization problems in chemometrics is shown through an extensive description of the algorithm (highlighting the importance of the proper choice of its metaparameters) and by means of selected worked examples in the fields of signal warping, estimation robust PCA solutions and variable selection.

Particle swarm optimization (PSO). A tutorial / Marini, Federico; Walczak, Beata. - In: CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS. - ISSN 0169-7439. - STAMPA. - 149:(2015), pp. 153-165. [10.1016/j.chemolab.2015.08.020]

Particle swarm optimization (PSO). A tutorial

MARINI, Federico
;
2015

Abstract

Swarm-based algorithms emerged as a powerful family of optimization techniques, inspired by the collective behavior of social animals. In particle swarm optimization (PSO) the set of candidate solutions to the optimization problem is defined as a swarm of particles which may flow through the parameter space defining trajectories which are driven by their own and neighbors' best performances. In the present paper, the potential of particle swarm optimization for solving various kinds of optimization problems in chemometrics is shown through an extensive description of the algorithm (highlighting the importance of the proper choice of its metaparameters) and by means of selected worked examples in the fields of signal warping, estimation robust PCA solutions and variable selection.
2015
continue and discrete optimization; particle swarm optimization (pso); swarm intelligence; variable selection; warping algorithms; analytical chemistry
01 Pubblicazione su rivista::01a Articolo in rivista
Particle swarm optimization (PSO). A tutorial / Marini, Federico; Walczak, Beata. - In: CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS. - ISSN 0169-7439. - STAMPA. - 149:(2015), pp. 153-165. [10.1016/j.chemolab.2015.08.020]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/845391
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