Results 11 to 20 of about 6,393 (202)
An ant colony genetic fusion routing algorithm based on soft define network
IET Networks, EarlyView., 2022 Abstract Aiming at the problem that there are many paths in data forwarding in soft define network (SDN) network, and the optimal path is difficult to find, combined with the advantages of ant colony algorithm and Genetic algorithm (GA), a routing control strategy based on the ant colony genetic fusion algorithm is proposed.
Kaixin Zhao, Yong Wei, Yang Zhang
wiley +1 more source
IET Networks, EarlyView., 2022 Abstract Everything can be connected in the Internet of Things (IoTs) technology that enables efficient communication between connected objects. IoTs industry‐based meta‐heuristic and mining algorithms, which are considered an important field of Artificial Intelligence will be used to construct a healthcare application in this study for lowering costs,
Muhaned Al‐Hashimi +4 more
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Optimization of Computer Network Energy Efficient Routing Based on Improved Ant Algorithm
Chemical Engineering Transactions, 2016 Computer network route optimization has been a subject of more attention in the art. This article routing optimization issues in-depth study of the ant colony algorithm to solve distributed parallelism, and propose measures for improvement ant colony ...
H.Y. Zhang, Q.H. Liu
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Local Field Potential‐Based Programming: A Proof‐of‐Concept Pilot Study
Neuromodulation: Technology at the Neural Interface, EarlyView., 2021 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
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Brainstorming-Based Ant Colony Optimization for Vehicle Routing With Soft Time Windows
IEEE Access, 2019 In this paper, we propose a novel ant colony optimization algorithm based on improved brainstorm optimization (IBSO-ACO) to solve the vehicle routing problem with soft time windows.
Libing Wu +4 more
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Query optimization of distributed database based on multiple ant colony genetic algorithm
上海师范大学学报. 自然科学版, 2018 In the light of the defect of single algorithm of query optimization,this paper proposes a multiple ant colony genetic algorithm combining the advantages of ant colony algorithm and genetic algorithmwhich overcomes the blindness of early search of ant ...
Zhou Ying, Chen Junhua
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Smooth Path Planning Based on Improved A* Ant Colony and Rolling Window Method
Jisuanji kexue yu tansuo, 2021 In order to solve the problems of deadlock, slow convergence, easy to get into local optimum and uneven path when ant colony algorithm is applied to the path planning of mobile robots, a smooth path planning method combining improved A* ant colony ...
YIN Shaowei, PENG Li, DAI Feifei
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Dynamic Path Planning Based on Improved Ant Colony Algorithm in Traffic Congestion
IEEE Access, 2020 Congestion road condition is an important factor that must be considered in urban traffic path planning, while most path planning algorithms only consider the distance factor, which is not suitable for the current complex urban traffic congestion road ...
Chunjiang Wu, Shijie Zhou, Licai Xiao
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Improved Optimization Algorithm of Ant Colony [PDF]
Proceedings of the 2016 2nd International Conference on Social Science and Technology Education (ICSSTE 2016), 2016 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
Journal of Physics: Conference Series, 2021 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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