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Test pattern optimization scheme based on Hybrid Ant Colony Optimization [PDF]
Scientific ReportsThe trend toward device miniaturization has made digital circuit testing both essential and increasingly complex. To achieve complete fault coverage, a large number of test patterns are applied, which leads to increased switching activity due to larger ...
S. Asha Pon, V. Jeyalakshmi
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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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Service Composition and Optimization Method Based on Improved Ant Colony Optimization Algorithm [PDF]
Jisuanji gongcheng, 2018 Aiming at the shortcomings of traditional ant colony algorithm,such as long initial pheromone accumulation time and easy to fall into local optimum,an improved ant colony system based cloud service composition algorithm is proposed under the condition of
SHEN Jiquan,LUO Changwei,HOU Zhanwei,LIU Zhizhong
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Single-Colony Adaptive Heterogeneous Ant Colony Algorithm for Mobile Robot Path Planning [PDF]
Jisuanji kexue yu tansuo, 2022 Aiming at the existent problems of complex structure, slow optimization rate and inadequate adaptability of multi-colony ant colony algorithm, a single colony adaptive heterogeneous ant colony algorithm is proposed to solve mobile robot path planning ...
ZHANG Songcan, SUN Lifan, SI Yanna, PU Jiexin
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Dynamic Path Optimization Based on Improved Ant Colony Algorithm
Journal of Advanced Transportation, 2023 Dynamic path optimization is an important part of intelligent transportation systems (ITSs). Aiming at the shortcomings of the current dynamic path optimization method, the improved ant colony algorithm was used to optimize the dynamic path.
Juan Cheng
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Adding Negative Learning to Ant Colony Optimization: A Comprehensive Study
Mathematics, 2021 Ant colony optimization is a metaheuristic that is mainly used for solving hard combinatorial optimization problems. The distinctive feature of ant colony optimization is a learning mechanism that is based on learning from positive examples. This is also
Teddy Nurcahyadi, Christian Blum
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Assessment of performance metrics for fusion network
Kuwait Journal of Science, 2021 The arrangement which does not necessitate any infrastructure for doing discussion among nodes is called as mobile ad-hoc network. In this paper the direction-finding technique which is mixture of particle swarm optimization and ant colony optimization ...
Rohan Gupta +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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Optimization of Association Rule Using Ant Colony Optimization (ACO) Approach
Wasit Journal of Computer and Mathematics Science, 2023 The Apriori algorithm creates all possible association rules between items in the database using the Association Rule Mining and Apriori Algorithm. Using Ant Colony Optimization, a new algorithm is proposed for improving association rule mining results.
Roni La’biran, Muhammad Kristiawan
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Advances in Mechanical Engineering, 2017 Different optimization algorithms are used in fast medicine dispensing system to improve the efficiency of refilling. To achieve rapid replenishing of the manipulator and improve efficiency in pharmacy automation system.
Hui Jin +4 more
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