Dynamic parameterizations of particle swarm optimization and genetic algorithm for facility layout problem

• Main Authors: Masrom, S., Abidin, S.Z.Z., Omar, N., Rahman, A.S.A., Rizman, Z.I.
• 格式: Article
• 出版: Asian Research Publishing Network 2017
• 在線閱讀: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020092904&partnerID=40&md5=8ca26eb4239b59b51b6a60468038e607; http://eprints.utp.edu.my/19511/
• 機構: Universiti Teknologi Petronas

Surrounded by an assortment of intelligent and efficient search entities, the hybridization of Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) are proven to be a comprehensive tool for solving different kinds of optimization problems due to their contradictive working approaches. In add...