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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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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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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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Implementable hybrid quantum ant colony optimization algorithm
Quantum Machine Intelligence, 2022 AbstractWe propose a new hybrid quantum algorithm based on the classical Ant Colony Optimization algorithm to produce approximate solutions for NP-hard problems, in particular optimization problems. First, we discuss some previously proposed Quantum Ant Colony Optimization algorithms, and based on them, we develop an improved algorithm that can be ...
M. Garcia de Andoin, J. Echanobe
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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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SamACO: Variable Sampling Ant Colony Optimization Algorithm for Continuous Optimization [PDF]
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2010 An ant colony optimization (ACO) algorithm offers algorithmic techniques for optimization by simulating the foraging behavior of a group of ants to perform incremental solution constructions and to realize a pheromone laying-and-following mechanism.
Hu, X. +4 more
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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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