Editing Particle swarm optimization (section)

=== Hybridization ===
New and more sophisticated PSO variants are also continually being introduced in an attempt to improve optimization performance. There are certain trends in that research; one is to make a hybrid optimization method using PSO combined with other optimizers,<ref name=lovbjerg02lifecycle/><ref name=niknam10efficient/><ref name=zx03depso/> e.g., combined PSO with biogeography-based optimization,<ref>{{cite journal|last1=Zhang|first1=Y.|last2=Wang|first2=S.|title=Pathological Brain Detection in Magnetic Resonance Imaging Scanning by Wavelet Entropy and Hybridization of Biogeography-based Optimization and Particle Swarm Optimization|journal=Progress in Electromagnetics Research|date=2015|volume=152|pages=41–58|doi=10.2528/pier15040602|doi-access=free}}</ref> and the incorporation of an effective learning method.<ref name=zhan10OLPSO/>