An improved quantum-behaved particle swarm optimization algorithm

Conference Paper · April 2010with13 Reads
DOI: 10.1109/CAR.2010.5456744 · Source: IEEE Xplore
Conference: Informatics in Control, Automation and Robotics (CAR), 2010 2nd International Asia Conference on, Volume: 2

    Abstract

    Quantum-behaved particle swarm optimization (QPSO) algorithm is a global convergence guaranteed algorithm, which shows good search ability in many optimization problems. In this paper, we present an improved QPSO algorithm, called IQPSO, by combining QPSO and an opposition-based learning concept. Experimental studies on four well-known benchmark problems show that IQPSO achieves better results than QPSO and other variants of PSO on majority of test problems.