Results 171 to 180 of about 79,553 (259)
A substation robot path planning algorithm based on deep reinforcement learning enhanced by ant colony optimization. [PDF]
Zhang H +5 more
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Path planning optimization of indoor mobile robot based on adaptive ant colony algorithm
Computers & industrial engineering, 2021In view of the shortcomings of traditional ant colony algorithm (ACO) in path planning of indoor mobile robot, such as a long time path planning, non-optimal path for the slow convergence speed, and local optimal solution characteristic of ACO, an ...
C. Miao +3 more
semanticscholar +1 more source
Ad hoc networks, 2021
Wireless Sensor Networks (WSNs) consist of a large number of spatially distributed sensor nodes connected through the wireless medium to monitor and record the physical information from the environment.
P. Maheshwari, A. Sharma, K. Verma
semanticscholar +1 more source
Wireless Sensor Networks (WSNs) consist of a large number of spatially distributed sensor nodes connected through the wireless medium to monitor and record the physical information from the environment.
P. Maheshwari, A. Sharma, K. Verma
semanticscholar +1 more source
Mobile Robot Path Planning Based on Improved Ant Colony Algorithm
2021 Asia-Pacific Conference on Communications Technology and Computer Science (ACCTCS), 2021Aiming at the problem that traditional ant colony algorithm has path redundancy in mobile robots and is easy to fall into local optimal solutions, an improved ant colony algorithm is designed.
Qinggang Su, Wangwang Yu, Jun Liu
semanticscholar +1 more source
Path planning for spot welding robots based on improved ant colony algorithm
Robotica (Cambridge. Print), 2022A welding path can be planned effectively for spot welding robots using the ant colony algorithm, but the initial parameters of the ant colony algorithm are usually selected through human experience, resulting in an unreasonable planned path.
Yuesheng Tan +4 more
semanticscholar +1 more source
A Bilevel Ant Colony Optimization Algorithm for Capacitated Electric Vehicle Routing Problem
IEEE Transactions on Cybernetics, 2021The development of electric vehicle (EV) techniques has led to a new vehicle routing problem (VRP) called the capacitated EV routing problem (CEVRP). Because of the limited number of charging stations and the limited cruising range of EVs, not only the ...
Ya-Hui Jia, Yi Mei, Mengjie Zhang
semanticscholar +1 more source
Future generations computer systems, 2020
Cyber–physical system (CPS) is the product of technological development to a certain stage, and also is the future trends in information technology. High-performance computing ability is the guarantee of CPS’s real-time and accuracy applications, and the
Na Yi, Jianjun Xu, Li-mei Yan, Lin Huang
semanticscholar +1 more source
Cyber–physical system (CPS) is the product of technological development to a certain stage, and also is the future trends in information technology. High-performance computing ability is the guarantee of CPS’s real-time and accuracy applications, and the
Na Yi, Jianjun Xu, Li-mei Yan, Lin Huang
semanticscholar +1 more source
IEEE transactions on engineering management, 2021
Existing routing protocols for wireless sensor networks (WSNs) focus primarily either on energy efficiency, quality of service (QoS), or security issues.
Manisha Rathee +5 more
semanticscholar +1 more source
Existing routing protocols for wireless sensor networks (WSNs) focus primarily either on energy efficiency, quality of service (QoS), or security issues.
Manisha Rathee +5 more
semanticscholar +1 more source
2020
Ant colony optimization (ACO) algorithm, models the real-life behavior of ants to solve optimization problems. Information provided in this chapter include: path navigation of ants, foraging pattern of ants by depositing pheromones during exploration and ACO model development.
Modestus O. Okwu, Lagouge K. Tartibu
openaire +1 more source
Ant colony optimization (ACO) algorithm, models the real-life behavior of ants to solve optimization problems. Information provided in this chapter include: path navigation of ants, foraging pattern of ants by depositing pheromones during exploration and ACO model development.
Modestus O. Okwu, Lagouge K. Tartibu
openaire +1 more source
Parallel Ant Colony Optimization Algorithm
2006 6th World Congress on Intelligent Control and Automation, 2006Ant colony optimization algorithm is a good way to solve complex multi-stage decision problems. But the construction graph and computation steps for an ant to construct a solution in the construction graph will be exponentially increased, if the stage number and decision variable dimension of complex multi-stage decision problem are increasing. It will
null Hong Liu, null Ping Li, null Yu Wen
openaire +1 more source

