Results 221 to 230 of about 49,095 (250)

An improved ant colony optimization algorithm based on dynamically adjusting ant number

2012 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2012
The ant colony algorithm is a mature and effective method to solve the problem of optimizing shortest path, which is one of the key technologies for robot navigation and path planning. But the algorithm often fails into precocity easily and can't get the global best result.
Dewen Zeng, Qing He, Bin Leng, Weimin Zheng, Hongwei Xu, Yiyu Wang, Guan Guan   +6 more
openaire   +1 more source

Improved ant colony optimization algorithm based on RNA computing

Automatic Control and Computer Sciences, 2017
RNA computing is a new intelligent optimization algorithm, which combines computer science and molecular biology. Aiming at the weakness of slow convergence rate and poor global search ability in the basic ant colony optimization algorithm due to the unreasonable selection of parameters, this paper utilizes the combination of RNA computing and basic ...
Liyi Zhang, Chao Xiao, Teng Fei
openaire   +1 more source

Mobile Robots Odor Localization with an Improved Ant Colony Algorithm

2006 IEEE International Conference on Robotics and Biomimetics, 2006
An improved ant colony algorithm (ACA) is put forward to solve the mobile robot odor localization (MROL) problem. The so-called MROL means localizing an odor source with mobile robots. The improved algorithm is realized through three phases, which are genetic algorithm (GA) based local search, global search and pheromone update. The GA ensures that the
Qing-Hao Meng, Jun-Cai Li, Fei Li 0009, Ming Zeng 0001   +3 more
openaire   +1 more source

Intelligent scheduling method for multi-machine cooperative operation based on NSGA-III and improved ant colony algorithm

Computers and Electronics in Agriculture, 2023
Shichao Li, Man Zhang, Ning Wang, Ruyue Cao, Zhenqian Zhang, Yuhan Ji, Han Li, H. Wang   +7 more
semanticscholar   +1 more source

Improved Ant Colony Algorithm for Partner Selection

2009 International Conference on Management Science and Engineering, 2009
Partner selection is a classical combinatorial optimization problem. Its solution is a list of nodes which are the least value of each link. When the links and candidates are increased continuously, the complexity of partner selection grows exponentially. It is difficult to solve that problem in method of exhaustion.
openaire   +1 more source

Application of improved ant colony algorithm in load balancing of software-defined networks

Journal of Supercomputing, 2022
Huijun Zheng, Jianlan Guo, Qin Zhou, Yong-Xiang Peng, Yuqiang Chen   +4 more
semanticscholar   +1 more source

An improved ant colony algorithm with biological characteristics

2006 IEEE International Conference on Granular Computing, 2006
Ling Qin, Yixin Chen 0001, Ling Chen 0005, Yan Wu   +3 more
openaire   +1 more source

Robotic Path Planning Based on Improved Ant Colony Algorithm

2019
Ant colony algorithm is an intelligent bionic optimization algorithm. Its self-organization and intelligence provide guiding for studying the global path planning problem. Based on this, an improved ant colony algorithm is proposed to solve the problem of robotic path planning and improved the convergence speed.
Tingting Liu, Chuyi Song, Jingqing Jiang
openaire   +1 more source

Improvement of PageRank algorithm by ant colony algorithm

Journal of Computer Applications, 2009
Yue-wei DING, Hui GUO
openaire   +1 more source

Design and optimization of logistics distribution route based on improved ant colony algorithm

Optik, 2023
Qi Jiang
exaly