Lim, Wei Hong (2014) Enhanced Particle Swarm Optimization Algorithms With Robust Learning Strategy For Global Optimization. PhD thesis, Universiti Sains Malaysia.
![[img]](http://eprints.usm.my/style/images/fileicons/application_pdf.png)
|
PDF
Download (767kB) | Preview |
Abstract
Particle Swarm Optimization (PSO) is a metaheuristic search (MS) algorithm inspired by the social interactions of bird flocking or fish schooling in searching for food sources. Pengoptimuman Kawanan Zarah (PSO) merupakan satu algoritma pencarian metaheuristik (MS) yang diinspirasi oleh interaksi sosial kumpulan burung atau kawanan ikan semasa pencarian sumber makanan.
| Item Type: | Thesis (PhD) |
|---|---|
| Subjects: | T Technology > TK Electrical Engineering. Electronics. Nuclear Engineering > TK1-9971 Electrical engineering. Electronics. Nuclear engineering |
| Divisions: | Kampus Kejuruteraan (Engineering Campus) > Pusat Pengajian Kejuruteraaan Elektrik & Elektronik (School of Electrical & Electronic Engineering) > Thesis |
| Depositing User: | Administrator Automasi |
| Date Deposited: | 08 Jun 2015 07:35 |
| Last Modified: | 12 Apr 2019 05:26 |
| URI: | http://eprints.usm.my/id/eprint/29007 |
Actions (login required)
 |
View Item |
