Particle swarm optimization: developments, applications and resources

TLDR

The paper surveys engineering and computer science developments, applications, and resources of particle swarm optimization. It reviews algorithmic advances since 1995—including constriction factors, inertia weights, and dynamic tracking—alongside current and prospective applications and available resources such as books, websites, and software. The paper concludes with a comprehensive bibliography of particle swarm optimization literature.

Abstract

This paper focuses on the engineering and computer science aspects of developments, applications, and resources related to particle swarm optimization. Developments in the particle swarm algorithm since its origin in 1995 are reviewed. Included are brief discussions of constriction factors, inertia weights, and tracking dynamic systems. Applications, both those already developed, and promising future application areas, are reviewed. Finally, resources related to particle swarm optimization are listed, including books, Web sites, and software. A particle swarm optimization bibliography is at the end of the paper.