A novel multi-state particle swarm optimization for discrete combinatorial optimization problems

A novel multi-state particle swarm optimization for discrete combinatorial optimization problems

Particle swarm optimization (PSO) has been widely used to solve real-valued optimization problems. A variant of PSO, namely, binary particle swarm optimization (BinPSO) has been previously developed to solve discrete optimization problems. Later, many studies have been done to improve BinPSO in term...

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Bibliographic Details
Main Authors: Ismail, Ibrahim, Zulkifli, Md. Yusof, Sophan Wahyudi, Nawawi, Muhammad Arif, Abdul Rahim, Kamal, Khalil, Hamzah, Ahmad, Zuwairie, Ibrahim
Format: Conference or Workshop Item
Language:English
Published: IEEE 2012
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/26946/
http://umpir.ump.edu.my/id/eprint/26946/
http://umpir.ump.edu.my/id/eprint/26946/1/A%20novel%20multi-state%20particle%20swarm%20optimization%20for%20discrete%20combinatorial%20optimization%20problems.pdf

Internet

http://umpir.ump.edu.my/id/eprint/26946/
http://umpir.ump.edu.my/id/eprint/26946/
http://umpir.ump.edu.my/id/eprint/26946/1/A%20novel%20multi-state%20particle%20swarm%20optimization%20for%20discrete%20combinatorial%20optimization%20problems.pdf

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