Dynamic parameterizations of particle swarm optimization and genetic algorithm for facility layout problem
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...
| Main Authors: | Masrom, S., Abidin, S.Z.Z., Omar, N., Rahman, A.S.A., Rizman, Z.I. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.19511 / |
| Published: |
Asian Research Publishing Network
2017
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020092904&partnerID=40&md5=8ca26eb4239b59b51b6a60468038e607 http://eprints.utp.edu.my/19511/ |
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