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Mathematics, 2022 Various studies have shown that the ant colony optimization (ACO) algorithm has a good performance in approximating complex combinatorial optimization problems such as traveling salesman problem (TSP) for real-world applications.
Shugang Li +4 more
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Data mining with an ant colony optimization algorithm [PDF]
IEEE Transactions on Evolutionary Computation, 2002 The paper proposes an algorithm for data mining called Ant-Miner (ant-colony-based data miner). The goal of Ant-Miner is to extract classification rules from data. The algorithm is inspired by both research on the behavior of real ant colonies and some data mining concepts as well as principles.
A A Freitas
exaly +2 more sources
All-Optical Implementation of the Ant Colony Optimization Algorithm. [PDF]
Sci Rep, 2016 AbstractWe report all-optical implementation of the optimization algorithm for the famous “ant colony” problem. Ant colonies progressively optimize pathway to food discovered by one of the ants through identifying the discovered route with volatile chemicals (pheromones) secreted on the way back from the food deposit.
Hu W +4 more
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Dynamic impact for ant colony optimization algorithm [PDF]
Swarm and Evolutionary Computation, 2022 14 pages, 5 tables, 3 ...
Jonas Skackauskas +3 more
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A novel quantum algorithm for ant colony optimisation [PDF]
IET Quantum Communication, 2021 Abstract Ant colony optimisation (ACO) is a commonly used meta‐heuristic to solve complex combinatorial optimisation problems like the travelling salesman problem (TSP), vehicle routing problem (VRP) etc. However, classical ACO algorithms provide better optimal solutions but do not reduce computation time overhead to a significant ...
Mrityunjay Ghosh +3 more
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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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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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Research on Improved Ant Colony Optimization Algorithm of MPR Under Dense MANET [PDF]
Jisuanji gongcheng, 2021 The traditional Multi-Point Relay(MPR) mechanism uses the greedy algorithm, which usually leads to solution set redundancy. To address the problem, this paper combines the Ant Colony Optimization(ACO) algorithm and MPR to propose a Dynamic Update Ant ...
ZHAO Qichao, YANG Yuwang, XIE Yongsheng, TANG Xiaofang, LI Cao
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Jisuanji kexue yu tansuo, 2021 Aiming at the problems of traditional ant colony algorithm in solving traveling salesman problem (TSP), such as slow convergence speed and easy to fall into local optimum, an ant colony optimization algorithm (RCACO) based on dynamic recombination and ...
LIU Yifan, YOU Xiaoming, LIU Sheng
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