Global Optimum Distance Evaluated Particle Swarm Optimization for Combinatorial Optimization Problem

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Global Optimum Distance Evaluated Particle Swarm Optimization for Combinatorial Optimization Problem

Based on the mechanism of Particle Swarm Optimization (PSO) measurement process, every particle estimates the global minimum/maximum. Particles communicate among them to update and improve the solution during the search process. However, the PSO is only capable to solve continuous numerical optimiza...

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Bibliographic Details
Main Authors:	Ainizar, Mustapa, Zuwairie, Ibrahim, Zulkifli, Md. Yusof, Ismail, Ibrahim
Format:	Conference or Workshop Item
Language:	English
Published:	Universiti Malaysia Pahang 2016
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/15530/ http://umpir.ump.edu.my/id/eprint/15530/1/P126%20pg943-950.pdf

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