Results 41 to 50 of about 49,095 (250)

Application of an Improved Ant Colony Algorithm in TSP Problem Solving

open access: yesChemical Engineering Transactions, 2016
Ant Colony Algorithm (ACA) is a kind of heuristic search algorithm based on population search. As a new bionic algorithm, ACA has attracted a lot of experts and scholars' attention. And they deduct many different improved versions.
W.D. Ren, W.X. Sun
doaj   +1 more source

Robot Path Planning of Improved Adaptive Ant Colony System Algorithm Based on Dijkstra

open access: yesJournal of Robotics, 2022
Path planning is one of the key technologies of robot. Aiming at the problems of slow convergence speed and inefficient search of traditional Ant Colony System Algorithm, an adaptive Ant Colony System Algorithm based on Dijkstra is proposed in the paper.
Chonglin Gu   +3 more
doaj   +1 more source

Antarctic Sea ice distribution detection based on improved ant colony algorithm

open access: yesFrontiers in Marine Science
The changes in the Antarctic sea ice area are directly related to the changes in the atmosphere and oceans. Determining the Antarctic sea ice distribution is of great significance to the global climate change analysis.
Xingdong Wang   +4 more
doaj   +1 more source

Mobile Robot Path Planning Based on Ant Colony Algorithm With A* Heuristic Method

open access: yesFrontiers in Neurorobotics, 2019
This paper proposes an improved ant colony algorithm to achieve efficient searching capabilities of path planning in complicated maps for mobile robot.
Xiaolin Dai   +5 more
doaj   +1 more source

Multi-factor of path planning based on an ant colony optimization algorithm

open access: yesAnnals of GIS, 2020
We propose an improved ant colony algorithm for avoiding obstacles in complex static environments that addresses the problems of a single evaluation factor and low path quality of the traditional ant colony algorithm in path planning.
Mingchang Wang   +4 more
doaj   +1 more source

Dynamic Hierarchical Ant Colony Optimization Based on Reward and Punishment Learning Strategy

open access: yesJisuanji kexue yu tansuo, 2021
In order to solve the problems of low precision and premature convergence of traditional ant colony system in solving traveling salesman problem (TSP), this paper proposes a dynamic hierarchical ant colony system which integrates reward and punishment ...
MO Yadong, YOU Xiaoming, LIU Sheng
doaj   +1 more source

Research of Improved Ant Colony Hybrid Algorithm [PDF]

open access: yesProceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer, 2016
In order to extend the application of ant colony algorithm (ACA), many scholars combined the ant colony algorithm with immune algorithm (IA) or other algorithms to solve the problem of slow convergence. To fully solve the too long search time, easily falling into local optimization, slow convergence and some other defects, the immune algorithm and ...
Jian Li   +4 more
openaire   +1 more source

Path Planning of Inspection Robot Based on Improved Ant Colony Algorithm

open access: yesApplied Sciences
The conventional Ant Colony Optimization (ACO) algorithm, applied to logistics robot path planning in a two-dimensional grid environment, encounters several challenges: slow convergence rate, susceptibility to local optima, and an excessive number of ...
Haixia Wang, Shihao Wang, Tao Yu
semanticscholar   +1 more source

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

open access: yesIEEE Access, 2022
This paper focuses on the problem that the current path planning algorithm is not mature enough to achieve the expected goal in a complex dynamic environment.
Q. Jin, Chun-hui Tang, Wu Cai
semanticscholar   +1 more source

An improved ant colony optimization algorithm for wire optimization

open access: yesBulletin of Electrical Engineering and Informatics, 2020
Wire optimization has become one of the greatest challenges in today’s circuit design. This paper presents a method for wire optimization in circuit routing using an improved ant colony optimization with Steiner nodes (ACOSN) algorithm. Circuit delay and power dissipation are primarily affected by the length of the routed wire.
Ho Joon Jim, Fazida Hanim Hashim
openaire   +3 more sources

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