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Classic action recognition of cross-country skiing sports combining ant colony and clustering algorithm. [PDF]
Yu H, Li Y.
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An in-depth analysis of UAV path planning, including procedures, algorithms, optimization models, and emerging challenges. [PDF]
Nafees M +4 more
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Research on features selection of medical diagnostic models based on L-S-ACO algorithm. [PDF]
Wang P, Tan B, Fu Y, Zhu L, Sun X, Su W.
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Bio-Inspired Reactive Approaches for Automated Guided Vehicle Path Planning: A Review. [PDF]
Lin S, Wang J, Kong X.
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PhishNet 1.0: optuna-optimized stacking ensemble with Boruta-based feature selection for phishing URL detection. [PDF]
Jain A +7 more
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Parallel Ant Colony Optimization Algorithm
2006 6th World Congress on Intelligent Control and Automation, 2006Ant colony optimization algorithm is a good way to solve complex multi-stage decision problems. But the construction graph and computation steps for an ant to construct a solution in the construction graph will be exponentially increased, if the stage number and decision variable dimension of complex multi-stage decision problem are increasing. It will
null Hong Liu, null Ping Li, null Yu Wen
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Adaptive ant colony optimization algorithm
2014 International Conference on Mechatronics and Control (ICMC), 2014An adaptive ant colony algorithm is proposed to overcome the premature convergence problem in the conventional ant colony algorithm. The adaptive ant colony is composed of three groups of ants: ordinary ants, abnormal ants and random ants. Each ordinary ant searches the path with the high concentration pheromone at the high probability, each abnormal ...
Gu Ping +4 more
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Fuzzy-based ant colony optimization algorithm
2010 2nd International Conference on Computer Technology and Development, 2010Real world problems don't always come with sufficient, complete, and precise data; classical algorithms are facing some limitations like inefficiency of handling imprecise data or uncertain information. Therefore there is a need for finding powerful techniques to handle such situations.
Assem A. Alsawy, Hesham A. Hefny
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Network optimization using ant colony algorithm
2016 International Conference on Automatic Control and Dynamic Optimization Techniques (ICACDOT), 2016Computer network plays vital role in our day to day life's critical issues such as hospitals, fire brigade, military. The errors or failures in such computer network create significant loss. These failures or errors should be taken into account while designing a computer network.
Mamta Munge, Handore Shubhangi
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