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Research on cold chain logistics distribution path optimization based on improved ant colony algorithm

2023 IEEE 3rd International Conference on Power, Electronics and Computer Applications (ICPECA), 2023
In real life, how to quickly and accurately plan the optimal path for cold chain logistics distribution in the complex traffic environment is one of the key issues in the cold chain logistics distribution vehicle operation system.
Ranhui Wang
semanticscholar   +1 more source

Path planning for spot welding robots based on improved ant colony algorithm

Robotica (Cambridge. Print), 2022
A 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

An improved ant colony algorithm with soldier ants

2015 11th International Conference on Natural Computation (ICNC), 2015
In the traveling Salesman Problem (TSP) research, the global search capability, convergence speed and robustness have become the hot issues. The ant colony algorithm is often used to solve TSP. The paper presents an improved algorithm based on the basic ant colony algorithm.
Shuhua Gu, Xia Zhang
openaire   +1 more source

An Improved Ant Colony Algorithm for VRPTW

2008 International Conference on Computer Science and Software Engineering, 2008
The vehicle routing problem with time windows (VRPTW) is a well-known and complex combinatorial problem. The primary objective of VRPTW is defined as the minimization of the number of routes or vehicles. Minimization of the total travel cost is secondary objective.
Chengming Qi, Yunchuan Sun
openaire   +1 more source

Mobile Robot Path Planning Based on Improved Ant Colony Algorithm

2021 Asia-Pacific Conference on Communications Technology and Computer Science (ACCTCS), 2021
Aiming 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

Application of Improved Ant Colony Algorithm

2008 Fourth International Conference on Natural Computation, 2008
A stochastic optimization algorithm is proposed by combining ant colony (ACO) algorithm with artificial fish-swarm algorithm (AFSA) for solving continuous space optimization problems. The algorithm is improved with the rapid search capability of AFSA and the good search characteristics of ACO, and the convergence speed of the presented algorithm is ...
Hongyan Shi, Zhaoyu Bei
openaire   +1 more source

An Improved Ant Colony Algorithm

2008 International Conference on MultiMedia and Information Technology, 2008
Artificial ant colony algorithm is new in the evolution computing. The primary study shows it is a better algorithm with robust based population, but it has some shortcomings such as its slow computing speed, and it is easy to fall in local peak in large scale problem. To overcome these deficiencies, an improved ant colony algorithm is designed through
Xin Zhang, Yu-zhong Zhou, Ping Fang
openaire   +1 more source

UAV Path Planning Based on an Improved Ant Colony Algorithm

Annual Meeting of the IEEE Industry Applications Society, 2021
In order to improve operational efficiency and survival probability, the optimal path of an UAV should be designed before the UAV performs a mission. The basic ant colony algorithm is easy to fall into the local optimum, and slow convergence speed.
Liu Huan, Zhang Ning, Li Qiang
semanticscholar   +1 more source

An Improved Ant Colony Algorithm for VRP Problem

2010 Third International Symposium on Intelligent Information Technology and Security Informatics, 2010
Vehicle routing problem(VRP) is an NP-hard problem, Ant colony algorithm is an effective tool for solving combinatorial optimization problems like VRP. On the base of understanding VRP problem and Ant Colony Algotithm(ACA), analysis ACA’s application in VRP, for its shortcomings, reference MMAS thought, introduce dynamic negative feedback mechanism and
Geng-Sheng Wang, Yun-Xin Yu
openaire   +1 more source

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