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An Adaptive Immune Ant Colony Optimization for Reducing Energy Consumption of Automatic Inspection Path Planning in Industrial Wireless Sensor Networks

Chaoqun Li, Jing Xiao, Yang Liu, Guohong Qi, Hu Qin, Jie Zhou
2021 Journal of Sensors  
This paper proposes a new adaptive immune ant colony optimization (AIACO) for optimizing automated inspection path planning.  ...  However, the optimal detection path planning of IWSNs is an N-P problem, which can usually only be solved by heuristic mathematical methods.  ...  The coding design is to use multiple ants of the ant colony to search for paths in parallel and use the intelligence of the group to plan the shortest path.  ... 
doi:10.1155/2021/9960043 doaj:4cff87fda5aa47ac8be844d402d763ed fatcat:w6722v6smjbs7ffjrdjojeotq4

An Adaptive Improved Ant Colony System Based on Population Information Entropy for Path Planning of Mobile Robot

Songcan Zhang, Jiexin Pu, Yanna Si
2021 IEEE Access  
INDEX TERMS Ant colony optimization, path planning, mobile robot, grid map, pheromone diffusion model, parameter adjusting strategy, pheromone updating strategy, population information entropy.  ...  of the search space and exploitation of the knowledge during the optimization progress.  ...  However, these intelligent optimization algorithms cannot be used directly for the path planning problem in grid environments.  ... 
doi:10.1109/access.2021.3056651 fatcat:7z5jl67fpvb2lo4nczh6zxvxrm

Improved Ant Colony Optimization Algorithm and Its Application on Path Planning of Mobile Robot

Juanping Zhao, Xiuhui Fu
2012 Journal of Computers  
searching strategy (TWPSS-ACOA) is adopted to accelerate searching speed.  ...  In view of that the TWPSS-ACOA has the defects of losing some feasible paths and even optimal paths because of its ants meeting judgment strategy (AMJS), so a new AMJS is proposed.  ...  ACKNOWLEDGMENT The authors would like to thank the anonymous referees for their constructive and useful comments during the development stage of this paper.  ... 
doi:10.4304/jcp.7.8.2055-2062 fatcat:rdizbubdizasvgutpge3a4uawa

An Improved Ant Colony Algorithm for Solving the Path Planning Problem of the Omnidirectional Mobile Vehicle

Jiang Zhao, Dingding Cheng, Chongqing Hao
2016 Mathematical Problems in Engineering  
This paper presents an improved ant colony algorithm for the path planning of the omnidirectional mobile vehicle.  ...  The coverage and updating strategy of pheromone is introduced to avoid repeated search reducing the effect of the number of ants on the performance of the algorithm.  ...  Therefore, the simple initial distribution strategy has advantages to reduce the blindness of ant colony search, shorten the path search time.  ... 
doi:10.1155/2016/7672839 fatcat:rrt3qok6vbfrza743tcva4sex4

Distributed Path Planning of Unmanned Aerial Vehicle Communication Chain Based on Dual Decomposition

Xiaohua Wei, Jianliang Xu, Wei Wang
2021 Wireless Communications and Mobile Computing  
Finally, through simulation, it was verified that the dual decomposition ant colony algorithm can plan a safe and reasonable flight path for multiple UAV formation flights in an offline state and achieve  ...  In this paper, the research on UAV global path planning is carried out using the ant colony algorithm, and an indoor UAV path planning model based on the ant colony algorithm is constructed.  ...  It is difficult to search for the true optimal path.  ... 
doi:10.1155/2021/6661926 fatcat:icokippoozdutflkiy24ge4y44

An Effective Dynamic Path Planning Approach for Mobile Robots Based on Ant Colony Fusion Dynamic Windows

Liwei Yang, Lixia Fu, Ping Li, Jianlin Mao, Ning Guo
2022 Machines  
To further improve the path planning of the mobile robot in complex dynamic environments, this paper proposes an enhanced hybrid algorithm by considering the excellent search capability of the ant colony  ...  optimization (ACO) for global paths and the advantages of the dynamic window approach (DWA) for local obstacle avoidance.  ...  [15] proposed a mutually Machines 2022, 10, 50 2 of 29 collaborative two-layer ant colony algorithm, using the outer ant colony for global search and the inner ant colony for local search. Ao et al  ... 
doi:10.3390/machines10010050 fatcat:zd52bcpvhraufagjr272oxs5pe

Research on path planning of cleaning robot based on an improved ant colony algorithm

Zhidong Wang, Changhong Wu, Jing Xu, Hongjie Ling, I. Barukčić
2021 MATEC Web of Conferences  
The conventional ant colony algorithm is easy to fall into the local optimal in some complex environments, and the blindness in the initial stage of search leads to long searching time and slow convergence  ...  Simulation results show that the algorithm has the better global searching ability, the convergence speed is obviously accelerated, and an optimal path can be planned in the complex environment.  ...  For this reason, many experts and scholars have made many optimization improvements on ACO from the aspects of search strategy, the pheromone updating and combination with other intelligent algorithms.  ... 
doi:10.1051/matecconf/202133607005 fatcat:xrb6ncvepjdirpmli6yr7cwxqi

Path Planning for Intelligent Parking System Based on Improved Ant Colony Optimization

Xianwei Wang, Hao Shi, Chao Zhang
2020 IEEE Access  
Considering the numerous disconnected paths in intelligent parking systems, this paper introduces the fallback strategy to improve ant colony optimization (ACO) for path planning in AGV-based intelligent  ...  In this way, the improved ACO could plan the optimal path for the AGV from the starting point to the destination, without sacrificing the search efficiency.  ...  Meanwhile, some scholars have modified and improved the ant colony optimization (ACO) for path planning [6] - [9] . For instance, Chaari et al.  ... 
doi:10.1109/access.2020.2984802 fatcat:l4wim4laybathji3cwfykdholq

Optimize 2-D Path Planning of Mobile Robot by using ACO with Guidance Factor

Li Wang
2020 Sir Syed Research Journal of Engineering & Technology  
A two-dimensional (2-D) threat map structure design for path planning strategy, in which threat points are fixed in the path of moving robot.  ...  In this research article, the path planning of a mobile robot done by using ant colony optimization (ACO) with guidance factor.  ...  Ants continue to search for nodes in the local area and finally reach the target node to complete a track.  ... 
doi:10.33317/ssurj.148 fatcat:k4sltpdrjbazvivnez2lphicz4

Robot Path Planning Using Improved Ant Colony Algorithm in the Environment of Internet of Things

Hongliu Huang, Guo Tan, Linli Jiang, Shan Zhong
2022 Journal of Robotics  
Second, the ant colony is divided according to different planning tasks. Let some ants explore the way first, and carry out basic optimization planning for the map environment.  ...  First, the grid method is used to model the path environment, which marks each grid to make the ant colony move from the initial grid to the target grid for path search.  ...  Acknowledgments is work was supported by the National Natural Science Fund Project (No. 42065004) and the project for improving the basic scientific research ability of young and middle-aged teachers in  ... 
doi:10.1155/2022/1739884 fatcat:mny4ozyi2nhxnc5t7mzbnxzbja

Research on Adaptive Ant Colony Algorithm in Robot Hole Making Path Planning

Yanmei Liu, Zhen Chen, Xin Wang, Lei Zhang, Yongqing Ji
2017 International Journal of Control and Automation  
So adaptive ant colony algorithm adjusts the dynamic of pheromone volatile factor to improve the non-purpose of the way of making holes, the low path quality, and realizes the optimal path planning of  ...  In this paper, the CATIA software is used to build the aircraft component model, Adaptive ant colony algorithm is proposed and applied to the design of robot path planning to get the shortest path between  ...  Secondly, thanks my teachers for guidance to my research, I have received new study skills and methods from them, which will have a significant impact on my future research.  ... 
doi:10.14257/ijca.2017.10.5.18 fatcat:26qvr3wyq5exzfel3e7pizc2qq

Mobile Robot Path Planning Based on Time Taboo Ant Colony Optimization in Dynamic Environment

Ni Xiong, Xinzhi Zhou, Xiuqing Yang, Yong Xiang, Junyong Ma
2021 Frontiers in Neurorobotics  
This article aims to improve the problem of slow convergence speed, poor global search ability, and unknown time-varying dynamic obstacles in the path planning of ant colony optimization in dynamic environment  ...  An improved ant colony optimization algorithm using time taboo strategy is proposed, namely, time taboo ant colony optimization (TTACO), which uses adaptive initial pheromone distribution, rollback strategy  ...  =1 TABLE 2 | 2 Description of TTACO for solving path planning.  ... 
doi:10.3389/fnbot.2021.642733 pmid:33732132 pmcid:PMC7956960 fatcat:dxgzw5aktbem5jwvgrsvmsvrhu

Research on Dynamic Path Planning Based on the Fusion Algorithm of Improved Ant Colony Optimization and Dynamic Window Method

Qibing Jin, Chuning Tang, Wu Cai
2021 IEEE Access  
In light of the ant colony optimization (ACO) with good robustness and strong search ability, and the dynamic window method (DWA) with better planning effect in local path planning problems, we propose  ...  INDEX TERMS Motion planning, path planning, ant colony optimization, dynamic window approach, mobile robot.  ...  Therefore, the paper proposes a secondary planning strategy for the path.  ... 
doi:10.1109/access.2021.3064831 fatcat:d62ilpk33vgcxaptv52gxftspi

Routing Optimization of Intelligent Vehicle in Automated Warehouse

Yan-cong Zhou, Yong-feng Dong, Hong-mei Xia, Jun-hua Gu
2014 Discrete Dynamics in Nature and Society  
It adopts elite ant kept, fallback, and pheromones limitation adjustment strategy. The current optimal route in population space is optimized based on experiential knowledge.  ...  In order to get an optimal route for warehouse intelligent vehicle, routing optimization in complex global dynamic environment is studied.  ...  Wang and Feng [12] researched the picking path plan for carousel based on ant colony optimization algorithm.  ... 
doi:10.1155/2014/789754 fatcat:qheeoauiojbt3pyftjhz4arl7e

Unmanned vehicle path planning using a novel ant colony algorithm

Longwang Yue, Hanning Chen
2019 EURASIP Journal on Wireless Communications and Networking  
The ant colony optimization algorithm is an effective way to solve the problem of unmanned vehicle path planning.  ...  This penalty strategy can enhance the utilization of resources and guide the ants to explore other unknown areas by using the worse value in the search history to enhance the volatility of the pheromone  ...  He proposed the main idea and applied the MMAS algorithm and AS-N algorithm to simulate the unmanned vehicle path planning problem in dynamic environment.  ... 
doi:10.1186/s13638-019-1474-5 fatcat:7ob3ddkbbrdyba4kmgkbxsdfx4
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