Navigating Agents In Uncertain Environments Using Particle Swarm Optimisation

Citation

-, Adham Atyabi (2008) Navigating Agents In Uncertain Environments Using Particle Swarm Optimisation. Masters thesis, Multimedia University.

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Abstract

This study introduces enhanced versions of Particle Swarm Optimization (PSO) to handle the real-world navigation problems. These modified versions of PSO are known as Particle Swarm Optimization with Area Extension (AEPSO) and Cooperative AEPSO (CAEPSO).

Item Type: Thesis (Masters)
Subjects: Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science > QA76.75-76.765 Computer software
Divisions: Faculty of Computing and Informatics (FCI)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 23 Sep 2010 02:28
Last Modified: 23 Sep 2010 02:28
URII: http://shdl.mmu.edu.my/id/eprint/1655

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