Modification of the ant colony optimization algorithm for solving multi-agent task allocation problem in agricultural application

• Main Authors: Hardhienata, Medria Kusuma Dewi, Priandana, Karlisa, Putra, Daffa Rangga, Sriatun, Mamiek, Wulandari, Buono, Agus, Mohamed, Raihani
• Format: Article
• Language: English
• Published: Semarak Ilmu Publishing 2024
• Online Access: http://psasir.upm.edu.my/id/eprint/105670/1/ARASETV34_N1_P90_105.pdf; http://psasir.upm.edu.my/id/eprint/105670/; https://semarakilmu.com.my/journals/index.php/applied_sciences_eng_tech/article/view/3095

This paper considers the problem of task allocation where the goal is to find a coalition of UAVs (agents) to complete on-farm agricultural tasks. In this study, Ant Colony Optimization (ACO) algorithm is employed to find the best coalition of agents. The performance of the basic ACO algorithm for s...