Particle swarm optimization using projection matrix for behavior constraints

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Particle Swam Optimization is one of useful optimization method that has a global search ability and is easy to implement. However there are some difficulties are observed for behavior constraints. This paper proposes a new approach to treat behavior constrains by projection of velocity vector of particles. By projection of velocity vector particks could approach feasible region formed by active constraints. Through several numerical examples, it is recognized better converge performance than original PSO.

Original languageEnglish
Title of host publicationCollection of Technical Papers - 11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference
Pages122-128
Number of pages7
Publication statusPublished - 2006 Dec 1
Event11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference - Portsmouth, VA, United States
Duration: 2006 Sep 62006 Sep 8

Publication series

NameCollection of Technical Papers - 11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference
Volume1

Conference

Conference11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference
CountryUnited States
CityPortsmouth, VA
Period06/9/606/9/8

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Miyashita, T. (2006). Particle swarm optimization using projection matrix for behavior constraints. In Collection of Technical Papers - 11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference (pp. 122-128). (Collection of Technical Papers - 11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference; Vol. 1).