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  4. Discrete Multi-Valued Particle Swarm Optimization
 
conference paper

Discrete Multi-Valued Particle Swarm Optimization

Pugh, Jim
•
Martinoli, Alcherio  
2006
Proceedings of IEEE Swarm Intelligence Symposium
IEEE Swarm Intelligence Symposium

Discrete optimization is a difficult task common to many different areas in modern research. This type of optimization refers to problems where solution elements can assume one of several discrete values. The most basic form of discrete optimization is binary optimization, where all solution elements can be either 0 or 1, while the more general form is problems that have solution elements which can assume $n$ different unordered values, where $n$ could be any integer greater than 1. While Genetic Algorithms (GA) are inherently able to handle these problems, there has been no adaption of Particle Swarm Optimization able to solve the general case.

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Type
conference paper
Author(s)
Pugh, Jim
Martinoli, Alcherio  
Date Issued

2006

Published in
Proceedings of IEEE Swarm Intelligence Symposium
Start page

103

End page

110

Subjects

particle swarm optimization

•

discrete optimization

URL

URL

http://www.computelligence.org/sis/
Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
DISAL  
Event nameEvent placeEvent date
IEEE Swarm Intelligence Symposium

Indianapolis, Indiana, USA

May 12-14

Available on Infoscience
March 15, 2006
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/228838
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