A Multi-Robot Task Allocation Method Based on the Synergy of the K-Means++ Algorithm and the Particle Swarm Algorithm
Addressing challenges in the traditional K-means algorithm, such as the challenge of selecting initial clustering center points and the lack of a maximum limit on the number of clusters, and where the set of tasks in the clusters is not reasonably sorted after the task assignment, which makes the co...
Hlavní autoři: | Youdong Yuan, Ping Yang, Hanbing Jiang, Tiange Shi |
---|---|
Médium: | Článek |
Jazyk: | English |
Vydáno: |
MDPI AG
2024-11-01
|
Edice: | Biomimetics |
Témata: | |
On-line přístup: | https://www.mdpi.com/2313-7673/9/11/694 |
Podobné jednotky
-
Research on task allocation of UAV cluster based on particle swarm quantization algorithm
Autor: Rongmei Geng, a další
Vydáno: (2023-01-01) -
Optimized Decentralized Swarm Communication Algorithms for Efficient Task Allocation and Power Consumption in Swarm Robotics
Autor: Mohamed Yasser, a další
Vydáno: (2024-04-01) -
An Airborne Multi-Sensor Task Allocation Method Based on Improved Particle Swarm Optimization Algorithm
Vydáno: (2018-08-01) -
An Optimized K-Harmonic Means Algorithm Combined with Modified Particle Swarm Optimization and Cuckoo Search Algorithm
Autor: Bouyer Asgarali
Vydáno: (2016-06-01) -
An Optimized K-Harmonic Means Algorithm Combined with Modified Particle Swarm Optimization and Cuckoo Search Algorithm
Autor: Bouyer Asgarali, a další
Vydáno: (2015-06-01)