DocumentCode
1639889
Title
Inertial geometric particle swarm optimization
Author
Moraglio, Alberto ; Togelius, Julian
Author_Institution
Centre for Inf. & Syst., Univ. of Coimbra, Coimbra
fYear
2009
Firstpage
1973
Lastpage
1980
Abstract
Geometric particle swarm optimization (GPSO) is a recently introduced formal generalization of a simplified form of traditional particle swarm optimization (PSO) without the inertia term that applies naturally to both continuous and combinatorial spaces. In this paper, we propose an extension of GPSO, the inertial GPSO (IGPSO), that generalizes the traditional PSO endowed with the full equation of motion of particles to generic search spaces. We then formally derive the specific IGPSO for the Hamming space associated with binary strings and present experimental results for this new algorithm.
Keywords
computational geometry; particle swarm optimisation; Hamming space; binary string; generic search space; inertial geometric particle swarm optimization; Equations; Euclidean distance; Evolutionary computation; Extraterrestrial measurements; Geometry; Hamming distance; Helium; Particle swarm optimization; Shape; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2009. CEC '09. IEEE Congress on
Conference_Location
Trondheim
Print_ISBN
978-1-4244-2958-5
Electronic_ISBN
978-1-4244-2959-2
Type
conf
DOI
10.1109/CEC.2009.4983182
Filename
4983182
Link To Document