Results 71 to 80 of about 2,175,305 (107)

Robot path planning based on obstacle avoidance optimization and improved ant colony algorithm

Xi'an Gongcheng Daxue xuebao
Aimed at the problems of slow convergence speed and redundant planning paths in the processing of path planning by ant colony algorithm, an improved ant colony algorithm based on obstacle avoidance information and fast optimization search strategy was ...
HE Xingshi, CHEN Huiyuan
doaj   +1 more source

Inducing decision trees with an ant colony optimization algorithm [PDF]

, 2012
Decision trees have been widely used in data mining and machine learning as a comprehensible knowledge representation. While ant colony optimization (ACO) algorithms have been successfully applied to extract classification rules, decision tree induction ...
Otero, Fernando E.B., Johnson, Colin G., Freitas, Alex A.   +2 more
core   +1 more source

Using a unified measure function for heuristics, discretization, and rule quality evaluation in Ant-Miner [PDF]

, 2013
Ant-Miner is a classification rule discovery algorithm that is based on Ant Colony Optimization (ACO) meta-heuristic. cAnt-Miner is the extended version of the algorithm that handles continuous attributes on-the-fly during the rule construction process ...
Otero, Fernando E.B., Khalid M. Salama, Salama, Khalid M., Fernando E. B. Otero   +3 more
core   +1 more source

Fuzzy Dynamic Parameter Adaptation in ACO and PSO for Designing Fuzzy Controllers: The Cases of Water Level and Temperature Control

Advances in Fuzzy Systems, 2018
A novel approach applied to Particle Swarm Optimization (PSO) and Ant Colony Optimization is presented. The main contribution of this work is the use of fuzzy systems to dynamically update the parameters for the ACO and PSO algorithms. In the case of ACO,
Fevrier Valdez, Juan Carlos Vazquez, Fernando Gaxiola   +2 more
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Prediction of flow characteristics in the bubble column reactor by the artificial pheromone-based communication of biological ants

Engineering Applications of Computational Fluid Mechanics, 2020
A novel combination of the ant colony optimization algorithm (ACO)and computational fluid dynamics (CFD) data is proposed for modeling the multiphase chemical reactors.
Shahaboddin Shamshirband, Meisam Babanezhad, Amir Mosavi, Narjes Nabipour, Eva Hajnal, Laszlo Nadai, Kwok-Wing Chau   +6 more
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Improved adaptive ant colony algorithm by incorporating multiple strategies

Nantong Daxue xuebao. Ziran kexue ban
To address the problems of slow convergence and local optima entrapment in the ant colony algorithm(ACO), this paper proposes an improved ant colony algorithm(IACO) integrating multiple strategies.
LIU Yutong; LI Yuan; ZHENG Xinyu
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A hybrid artificial algae and ant colony optimization algorithm for combinatorial problems [PDF]

PeerJ Computer Science
The Traveling Salesman Problem (TSP) is a classical Nondeterministic Polynomial time (NP)-hard optimization problem that continues to inspire new metaheuristic designs.
Mustafa Altıok
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Intercluster Ant Colony Optimization Algorithm for Wireless Sensor Network in Dense Environment

International Journal of Distributed Sensor Networks, 2014
Wireless sensor networks have grown rapidly with the innovation in Information Technology. Sensor nodes are distributed and deployed over the area for gathering requisite information. Sensor nodes possess a negative characteristic of limited energy which
Jung-Yoon Kim, Tripti Sharma, Brijesh Kumar, G. S. Tomar, Karan Berry, Won-Hyung Lee   +5 more
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A new sequential covering strategy for inducing classification rules with ant colony algorithms [PDF]

, 2012
Ant colony optimization (ACO) algorithms have been successfully applied to discover a list of classification rules. In general, these algorithms follow a sequential covering strategy, where a single rule is discovered at each iteration of the algorithm ...
Otero, Fernando E. B., Otero, Fernando E.B., Johnson, Colin G., Freitas, Alex A.   +3 more
core   +1 more source

蚁群神经网络在齿轮箱故障诊断中的研究与应用

Jixie chuandong, 2007
Ant colony optimization（ACO） algorithm is led into training of and neural networks,which based on ACO algorithm and the implementing framework of ACO.The basic theory and steps of ACO training neural networks are given,and applied in fault diagnosis of ...
吴玉国, 宋崇智
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