Results 41 to 50 of about 11,354 (208)
IEEE Access, 2018 In this paper, a modified artificial bee colony (MABC) algorithm is proposed to estimate the unknown fractional-order nonlinear systems. First, the parameter estimation problem can be mathematically transformed into a multi-dimensional continuous ...
Di Cai, Yongguang Yu, Jiamin Wei
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Quick Combinatorial Artificial Bee Colony -qCABC- Optimization Algorithm for TSP [PDF]
, 2013 Combinatorial Artificial Bee Colony Algorithm (CABC) is a new version of Artificial Bee Colony (ABC) to solve combinatorial type optimization problems and quick Artificial Bee Colony (qABC) algorithm is an improved version of ABC in which the onlooker ...
Görkemli, Beyza, Karaboga, Dervis
core
Evolution of Physical Intelligence Across Scales
Advanced Intelligent Discovery, EarlyView.By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu +7 more
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Zhongguo Jianchuan YanjiuObjectiveThe artificial bee colony (ABC) algorithm has such characteristics as few control parameters, strong local optimization ability and fast convergence speed.
Tieli LI +4 more
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Block matching algorithm for motion estimation based on Artificial Bee Colony (ABC) [PDF]
Applied Soft Computing, 2013 22 Pages.
Cuevas, Erik +4 more
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Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN
Deep Underground Science and Engineering, EarlyView.A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan +4 more
wiley +1 more source
A Clustering Approach Using Cooperative Artificial Bee Colony Algorithm
Discrete Dynamics in Nature and Society, 2010 Artificial Bee Colony (ABC) is one of the most recently introduced algorithms based on the intelligent foraging behavior of a honey bee swarm. This paper presents an extended ABC algorithm, namely, the Cooperative Article Bee Colony (CABC), which ...
Wenping Zou +3 more
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Chemical Engineering Transactions, 2016 Gaussian mixture model (GMM) and Gaussian mixture regression (GMR) can be used to detect adulteration in extra virgin olive oil. The estimate of the GMM parameters is commonly obtained from the expectation- maximization (EM) algorithm.
X. Xie, Y. Gao, W.M. Shi, Q. Shen
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Wildlife Biology, EarlyView.Exploration of new wildlife surveying methodologies that leverage advances in sensor technology and machine learning has led to tentative research into the application of seismology techniques. This, most commonly, involves the deployment of a footfall trap – a seismic sensor and data logger customised for wildlife footfall.
Benjamin J. Blackledge +4 more
wiley +1 more source
Characterizing the Social Interactions in the Artificial Bee Colony Algorithm
, 2019 Computational swarm intelligence consists of multiple artificial simple agents exchanging information while exploring a search space. Despite a rich literature in the field, with works improving old approaches and proposing new ones, the mechanism by ...
Bastos-Filho, Carmelo +6 more
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