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...
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: | |
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 |
Similar Items
-
Multi-State Particle Swarm Optimization for Discrete Combinatorial Optimization Problem
by: Ismail, Ibrahim, et al.
Published: (2014) -
An Improved Multi-State Particle Swarm Optimization for Discrete Optimization Problems
by: Ismail, Ibrahim, et al.
Published: (2015) -
Global Optimum Distance Evaluated Particle Swarm Optimization for Combinatorial Optimization Problem
by: Ainizar, Mustapa, et al.
Published: (2016) -
Advances in Particle Swarm Algorithms in Asynchronous, Discrete and Multi-Objective Optimization
by: Zuwairie, Ibrahim
Published: (2014) -
Transitional particle swarm optimization
by: Nor Azlina, Ab. Aziz, et al.
Published: (2017)