Title :
Inertial geometric particle swarm optimization
Author :
Moraglio, Alberto ; Togelius, Julian
Author_Institution :
Centre for Inf. & Syst., Univ. of Coimbra, Coimbra
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;
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
DOI :
10.1109/CEC.2009.4983182