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Mobile Robot Path Planning Based on Ant Colony Algorithm With A* Heuristic Method [PDF]
Frontiers in Neurorobotics, 2019 This paper proposes an improved ant colony algorithm to achieve efficient searching capabilities of path planning in complicated maps for mobile robot.
Xiaolin Dai +5 more
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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. However, disadvantages such as long running time and easy stagnation still restrict its further wide application in many ...
Zhaoxu Yu, Zhu He
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Research on the Application of Ant Colony Algorithm in University Teaching Management Service System [PDF]
MATEC Web of Conferences, 2022 The ant colony algorithm is based on the real ant colony foraging behavior research algorithm, based on the ant colony algorithm university teaching management service system, through the development of one-click automatic course scheduling, drag-and ...
Yi Wei
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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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Optimization of one-dimensional wire cutting with variable length based on genetic ant colony algorithm [PDF]
MATEC Web of Conferences, 2021 This paper presents an algorithm of one-dimensional wire cutting based on genetic algorithm and ant colony algorithm. Firstly, the dominant solution is screened out by genetic algorithm and transformed into the initial accumulation of pheromone in ant ...
Xia Xin, Wan Defu
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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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Abnormal Data Detection Method Based on Ant Colony Algorithm [PDF]
Jisuanji gongcheng, 2016 Since the traditional outlier detection technology based on Omeasure needs to search all paths while detecting abnormal data and it is easy to make misjudgments under the scenario of less amount of data.Hence,it has obvious defects on the efficiency and
CAI Mei,LIU Bo
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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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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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