Improved Optimization Algorithm of Ant Colony [PDF]
The mechanisms and basic principles about ant colony algorithm is researched, and in system point of view such characteristics as positive feedback, self-organizing systems, and distributed computing of the ant colony algorithm are analyzed. Analysis, verify and classify improved optimization algorithm of ant colony in detail by TSP-Ei151 in MATLAB 7.6;
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An improved ant colony algorithm for TSP application
Abstract Aiming at the problems of slow convergence speed and easy to fall into the optimal solution of ant colony algorithm, genetic algorithm and nonlinear optimization are used to optimize ant colony algorithm. After the initial iteration of the ant colony, the solution formed by all paths is the initial population, and then the ...
Deqiang Jiao +3 more
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An Improvement of a Mapping Method Based on Ant Colony Algorithm Applied to Smart Cities
The ant colony algorithm has been widely used in the field of data analysis of smart cities. However, the research of the traditional ant colony algorithm is more focused on one-to-one scenarios and there is insufficient research on many-to-one scenarios.
Kaiming Xu +3 more
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Clustering via Ant Colonies: Parameter Analysis and Improvement of the Algorithm [PDF]
An ant colony optimization approach for partitioning a set of objects is proposed. In order to minimize the intra-variance, or within sum-of-squares, of the partitioned classes, we construct ant-like solutions by a constructive approach that selects objects to be put in a class with a probability that depends on the distance between the object and the ...
Jeffry Chavarría-Molina +2 more
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Contactless Distribution Path Optimization Based on Improved Ant Colony Algorithm
In the context of the normalization of the epidemic, contactless delivery is becoming one of the most concerned research areas. In the severe epidemic environment, due to the frequent encounter of bayonet temperature measurement, road closure, and other ...
Feng Wu
semanticscholar +1 more source
Local Field Potential‐Based Programming: A Proof‐of‐Concept Pilot Study
Abstract Objectives Programming deep brain stimulation (DBS) is still based on a trial‐and‐error approach, often becoming a time‐consuming process for both treating physicians and patients. Several strategies have been proposed to streamline DBS programming, most of which are preliminary and mainly address Parkinson's disease, a condition readily ...
Alfonso Fasano +10 more
wiley +1 more source
Dynamic ant colony algorithm based on cw saving Value
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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Task allocation of multiple autonomous underwater vehicles based on improved ant colony algorithm
[Objectives] With the submarine topographic survey mission of the Multiple Autonomous Underwater Vehicles (MAUV) as the background,the optimal task allocation method of MAUV is proposed on the basis of an improved ant colony algorithm.[Methods] The task ...
LIU Ruixuan, ZHANG Yonglin
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Multi-AGV multitask collaborative scheduling based on an improved ant colony algorithm
Research on multitask scheduling systems in factory environments is a popular topic in the field of intelligent manufacturing. Existing research mainly focuses on the optimization of automated guided vehicle (AGV) path planning and scheduling ...
Yazhen Zhu, Qing Song, Meng Li
semanticscholar +1 more source
Research on vehicle routing problem based on improved ant colony algorithm[JP]
In order to solve the problems of slow convergence and easiness to fall into local optimal solution in solving vehicle routing problem,an improved ant colony algorithm was proposed.Firstly,the saving matrix updating selection probability formula was ...
Ziyu LIU +4 more
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