Genetic Learning Particle Swarm Optimization

• Published in: IEEE transactions on cybernetics Vol. 46; no. 10; pp. 2277 - 2290
• Main Authors: Gong, Yue-Jiao, Li, Jing-Jing, Zhou, Yicong, Li, Yun, Chung, Henry Shu-Hung, Shi, Yu-Hui, Zhang, Jun
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.10.2016; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithm design and analysis; Algorithms; Animals; Artificial Intelligence; Bees; Computer Simulation; Convergence; Efficiency; Evolution & development; Exemplar construction; genetic algorithm (GA); Genetic algorithms; Genetics; Genetics, Behavioral; hybrid method; learning scheme; Models, Genetic; Optimization techniques; particle swarm optimization (PSO); Sociology; Statistics

Social learning in particle swarm optimization (PSO) helps collective efficiency, whereas individual reproduction in genetic algorithm (GA) facilitates global effectiveness. This observation recently leads to hybridizing PSO with GA for performance enhancement. However, existing work uses a mechanis...