A Novel Approach for Swarm Robotic Target Searches Based on the DPSO Algorithm
Cooperation between individuals plays a very important role when swarm robots search for targets. In this article, we present a novel approach that is based on the distributed particle swarm optimization (DPSO) algorithm to guide swarm robots to search for targets. Both the communication limit and t...
Main Author: | Yanzhi Du |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9296203/ |
Similar Items
-
Method for the Optimal Sensor Deployment of WSNs in 3D Terrain Based on the DPSOVF Algorithm
by: Yanzhi Du
Published: (2020-01-01) -
Congestion Management through Optimal Allocation of FACTS Devices Using DigSILENT-Based DPSO Algorithm- A Real Case Study
by: A. Bagheri, et al.
Published: (2020-08-01) -
Multi-Target Coordinated Search Algorithm for Swarm Robotics Considering Practical Constraints
by: You Zhou, et al.
Published: (2021-12-01) -
Image Segmentation Based on Dynamic Particle Swarm Optimization for Crystal Growth
by: Yu Li, et al.
Published: (2018-11-01) -
Hyperspectral Remote Sensing Inversion and Monitoring of Organic Matter in Black Soil Based on Dynamic Fitness Inertia Weight Particle Swarm Optimization Neural Network
by: Ruichun Chang, et al.
Published: (2022-09-01)