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Research on Path Planning of AUV Based on Improved Ant Colony Algorithm

2021 4th International Conference on Artificial Intelligence and Big Data (ICAIBD), 2021
In order to solve the problem of local optimal solution and slow convergence speed of traditional ant colony algorithm,initial pheromone, transfer probability and pheromone update strategy are improved in the paper.
Shaokun Yan
semanticscholar   +1 more source

Global path planning of unmanned boat based on improved ant colony algorithm

2021 4th International Conference on Electron Device and Mechanical Engineering (ICEDME), 2021
When the ant colony algorithm is used to solve the global path planning of the unmanned boat, it is prone to problems such as local optimization and too slow convergence speed. This paper combines the problems encountered in the actual application of the
Jialin Li, Jianqiang Zhang
semanticscholar   +1 more source

An improved ant colony algorithm for continuous space optimization

2010 International Conference on Machine Learning and Cybernetics, 2010
Based on the mechanism of the improved ant colony algorithm, a novel method in continuous space optimization is developed. Four novel strategies are used in this new method: add random ants and elitist ants, improve the move strategy, alter the parameters dynamically, and modify the peak value in the pheromone distribution function.
Liang Yang   +4 more
openaire   +1 more source

Improved Strategies of Ant Colony Optimization Algorithms

2012
Ant Colony Optimization (ACO) algorithms, inspired by the foraging behavior of real ants, have achieved great success in tackling discrete combinational optimization problems. Since the first ant algorithm—Ant System was introduced in early 1990s, various improved versions of ant algorithms have been proposed and most of them share similar improving ...
Ping Guo 0003, Zhujin Liu, Lin Zhu
openaire   +1 more source

Improved Ant Colony Algorithm and its Applications in TSP

Sixth International Conference on Intelligent Systems Design and Applications, 2006
In the fields of ant colony optimization (ACO), models of collective intelligence of ants are transformed into useful optimization techniques. A kind of improved ACO (named PMACO) approach for traveling salesman problems (TSP) is presented. Aimed at the disadvantages existed in ACO, several new betterments are proposed and evaluated. In particular, the
XueMei Song, Bing Li, Hongmei Yang
openaire   +1 more source

Improving ant colony optimization algorithm for data clustering

Proceedings of the International Conference and Workshop on Emerging Trends in Technology, 2010
Data mining is a process that uses technology to bridge the gap between data and logical decision-making. The jargon itself offers a promising view of organized data manipulation for extracting valuable information and knowledge from high volume of data. Copious techniques are developed to fulfill this aspiration.
Raj Gaurang Tiwari   +3 more
openaire   +1 more source

An Improved Ant Colony Clustering Algorithm

2012
In order to achieve cluster analysis with high-dimensional and unknown number of cluster, presents an improved ant based clustering algorithm. The improved algorithm improves four strategies for basic ant clustering algorithm, the strategy of ants pick up the object, lay down the object and the change definition of distance between data object, and ...
Weian Tao   +5 more
openaire   +1 more source

An Improvement to the Coordination Method of Ant Colony Algorithm

2012 International Conference on Computer Distributed Control and Intelligent Environmental Monitoring, 2012
The ant colony algorithm has two disadvantages: slow convergence and precocity. Aiming at the disadvantage of slow convergence speed, this paper proposed a new kind of pheromone named Directed Pheromone. Using the Directed Pheromone to enhance the pheromone trails on the shorter arcs in order to speed the algorithm's convergence.
Xiangping Meng   +4 more
openaire   +1 more source

RLC_ACS: An Improved Ant Colony Algorithm for VRPSDP

2007 International Conference on Machine Learning and Cybernetics, 2007
This paper studies the reverse logistics vehicle routing problem with simultaneous distribution of the goods and collection of the ones as same as the initial state by a homogeneous fleet of vehicles with capacities constraint and maximum distance constraint under a single depot. It presents a mixed integer programming model. For the complex feature of
Tao Zhang   +3 more
openaire   +1 more source

Research and Application of an Improved Ant Colony Algorithm

Applied Mechanics and Materials, 2014
Ant colony algorithm is a bionic algorithm which is used to optimize the shortest path in graph. But the traditional ant colony algorithm has some disadvantages, such as slow convergence speed, easy to fall into local optimum, high complexity and so on.
Lan Shi, Shang Po Yang
openaire   +1 more source

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