Motion-Encoded Particle Swarm Optimization

Implementation of the Motion-Encoded Particle Swarm Optimization (MPSO) algorithm for the optimal search of a lost target using UAVs

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Updated 10 Sep 2022

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This is the source code for the algorithm Motion-Encoded Particle Swarm Optimization (MPSO). The current implementation is for the optimal search of a lost target with the focus on Unmanned Aerial Vehicles (UAV). However, it can be modified to apply to other optimization problems. Details of this algorithm can be found in the paper: Manh Duong Phung, Quang Phuc Ha, "Motion-encoded particle swarm optimization for moving target search using UAVs", Journal of Applied soft computing, Volume 97, Part B, pp. 106705, 2020. Link to the paper: https://doi.org/10.1016/j.asoc.2020.106705

To run the program, download all the source files and execute "MPSO_MAIN.m" in MATLAB.
Note: The Statistics and Machine Learning Toolbox needs installing to run the code.

Cite As

Manh Duong Phung, Quang Phuc Ha. “Motion-Encoded Particle Swarm Optimization for Moving Target Search Using UAVs.” Applied Soft Computing, Volume 97, Part B, pp. 106705, 2020, doi:10.1016/j.asoc.2020.106705.

MATLAB Release Compatibility
Created with R2020a
Compatible with any release
Platform Compatibility
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Version Published Release Notes
1.0.4

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1.0.3

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1.0.2

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1.0.1

Note: The Statistics and Machine Learning Toolbox needs installing to run the code.

1.0.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.