Inertial geometric particle swarm optimization

— 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.

• Type: Conference
• Year: 2009
• Where: CEC
• Authors: Alberto Moraglio, Julian Togelius
• Keywords: Artificial Intelligence, CEC 2009, Generic Search Spaces, Particle Swarm Optimization, Traditional Pso