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bibtex-reference |
@inproceedings{Carlisle2001,
author = {Carlisle, A. and Dozier, G.},
booktitle = {{PSO} Workshop},
citeulike-article-id = {6592019},
title = {An Off-The-Shelf {PSO}},
year = {2001},
abstract = {What attributes and settings of the Particle Swarm Optimizer constants result in a good, off-the-shelf, PSO implementation? There are many parameters, both explicit and implicit, associated with the Particle Swarm Optimizer that may affect its performance. There are the social and cognitive learning rates and magnitudes, the population size, the neighborhood size (including global neighborhoods), synchronous or asynchronous updates, and various additional controls, such as inertia and constriction factors. For any given problem, the values and choices for some of these parameters may have significant impact on the efficiency and reliability of the PSO, and yet varying other parameters may have little or no effect. What set of values, then, constitutes a good, general purpose PSO? While some of these factors have been investigated in the literature, others have not. In this paper we use existing literature and a selection of benchmark problems to determine a set of starting values suitable for an “off the shelf PSO.},
} |