Aiming at the problem that the ant colony algorithm(ACO) is slow to converge and easily fall into the local optimal value in the path planning of multi-area ...
Abstract—Aiming at the problem that the ant colony algo- rithm(ACO) is slow to converge and easily fall into the local optimal value in the path planning of ...
The experimental results show that the improved ant colony optimization algorithm has a high global search capability and significantly faster convergence ...
Bibliographic details on Multi-area Path Planning for Wireless Sensor Networks Based on Double Populations Ant Colony Optimization Algorithm.
We propose an improved ant colony algorithm for avoiding obstacles in complex static environments that addresses the problems of a single evaluation factor ...
Missing: Double Populations
Multi-area Path Planning for Wireless Sensor Networks Based on Double Populations Ant Colony Optimization Algorithm. iThings/GreenCom/CPSCom/SmartData ...
At present, it needs to build VORONOI map or set the navigation nodes for getting optimal UAV, two-dimensional path planning by adopting ACO algorithm.
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This article proposes a method of using the ant colony algorithm (ACOD) to calculate the optimal routing of a WSN, the K-means algorithm for clustering, and ...
This paper presents a novel routing protocol based on ant colony optimization for multi-agents that manages network resources adequately in real-time ...
Robot Path Planning Based on Improved Ant Colony Algorithm
www.researchgate.net › ... › Path Planning
Multi-area Path Planning for Wireless Sensor Networks Based on Double Populations Ant Colony Optimization Algorithm. Conference Paper. Nov 2020. Chenxuan Zhai ...