An improved multi-state particle swarm optimization for discrete combinatorial optimization problems

• Main Authors: Ismail, Ibrahim, Zuwairie, Ibrahim, Hamzah, Ahmad, Zulkifli, Md. Yusof
• Format: Article
• Language: English; English
• Published: United Kingdom Simulation Society 2015
• Subjects: QA Mathematics; T Technology (General)
• Online Access: http://umpir.ump.edu.my/id/eprint/29595/1/An%20improved%20multi-state%20particle%20swarm%20optimization%20for%20discrete%20.pdf; http://umpir.ump.edu.my/id/eprint/29595/2/An%20improved%20multi-state%20particle%20swarm%20optimization%20for%20discrete_FULL.pdf; http://umpir.ump.edu.my/id/eprint/29595/; https://doi.org/10.1109/CICSyN.2015.11; https://doi.org/10.1109/CICSyN.2015.11

The binary-based algorithms including the binary gravitational search algorithm (BGSA) were designed to solve discrete optimization problems. Many improvements of the binary-based algorithms have been reported. In this paper, a variant of GSA called multi-state gravitational search algorithm (MSGSA)...