A Comparison Study Between Two Algorithms Particle Swarm Optimization for Depth Control of Underwater Remotely Operated Vehicle
This paper investigates two algorithms based on particle swarm optimization (PSO) to obtain optimum parameter. In this research, an improved PSO algorithm using a priority-based fitness PSO (PFPSO) and priority-based fitness binary PSO (PFBPSO) approach. This comparison study between two algorithms...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Praise Worthy Prize
2013
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| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/id/eprint/10272/1/13982.pdf http://eprints.utem.edu.my/id/eprint/10272/2/comparison2pso.pdf http://eprints.utem.edu.my/id/eprint/10272/ |
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