Midrange exploration exploitation searching particle swarm optimization with HSV-template matching for crowded environment object tracking
Particle Swarm Optimization (PSO) has demonstrated its effectiveness in solving the optimization problems. Nevertheless, the PSO algorithm still has the limitation in finding the optimum solution. This is due to the lack of exploration and exploitation of the particle throughout the search space. Th...
Saved in:
Main Author: | |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2023
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/41486/1/ir.NURUL%20IZZATIE%20HUSNA%20-PCC17011.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Be the first to leave a comment!