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Path planning of mobile robot based on improved ant colony algorithm for logistics.
Mathematical biosciences and engineering : MBE, 2021 The path planning of robot is of great significance for the logistics industry, which helps to improve the efficiency of warehousing, sorting and distribution.
Tian Xue +4 more
semanticscholar +1 more source
Path planning of multiple UAVs using MMACO and DE algorithm in dynamic environment
Measurement + Control, 2023 Cooperative path planning of multiple unmanned aerial vehicles is a complex task. The collision avoidance and coordination between multiple unmanned aerial vehicles is a global optimal issue.
Zain Anwar Ali, Han Zhangang, Di Zhengru
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Active Inferants: An Active Inference Framework for Ant Colony Behavior
Frontiers in Behavioral Neuroscience, 2021 In this paper, we introduce an active inference model of ant colony foraging behavior, and implement the model in a series of in silico experiments. Active inference is a multiscale approach to behavioral modeling that is being applied across settings in
Daniel Ari Friedman +9 more
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Anti-pheromone as a tool for better exploration of search space [PDF]
, 2002 Many animals use chemical substances known as pheromones to induce behavioural changes in other members of the same species. The use of pheromones by ants in particular has lead to the development of a number of computational analogues of ant colony ...
G. Reinelt +9 more
core +2 more sources
Journal of Heuristics, 2002 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Middendorf, Martin +2 more
openaire +3 more sources
The Application of the Ant Colony Decision Rule Algorithm on Distributed Data Mining [PDF]
, 2014 Based on the deep research of Ant Colony Algorithm, an Ant Colony decision rule Algorithm is proposed for rules mining based on the thought of ant colony and rule mining of decision tree.
Mei, HongBiao, Xie, LinQuan
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A Framework of Ant Colony P System
IEEE Access, 2019 Ant colony algorithm is a swarm intelligence population-based algorithm, which is inspired from the foraging behavior of ant colonies. Nowadays, the ant colony algorithm has become a very popular topic, and has been widely used in many fields.
Yueguo Luo, Ping Guo, Mingzhe Zhang
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Optimization of one-dimensional wire cutting with variable length based on genetic ant colony algorithm [PDF]
MATEC Web of Conferences, 2021 This paper presents an algorithm of one-dimensional wire cutting based on genetic algorithm and ant colony algorithm. Firstly, the dominant solution is screened out by genetic algorithm and transformed into the initial accumulation of pheromone in ant ...
Xia Xin, Wan Defu
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Investigating Evaluation Measures in Ant Colony Algorithms for Learning Decision Tree Classifiers [PDF]
, 2015 Ant-Tree-Miner is a decision tree induction algorithm that is based on the Ant Colony Optimization (ACO) meta- heuristic. Ant-Tree-Miner-M is a recently introduced extension of Ant-Tree-Miner that learns multi-tree classification models.
Abdelbar, Ashraf M. +2 more
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Dynamic ant colony algorithm based on cw saving Value
MATEC Web of Conferences, 2018 As a swarm intelligence optimization algorithm, ant colony algorithm (ACO) has a good application in combinatorial optimization problems, in which traveling salesman problem (TSP) is an important application of ACO algorithm.
Yao Jiang-Gu, Gao Jian
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