Results 181 to 190 of about 14,171 (244)

Enhancing feature selection for multi-pose facial expression recognition using a hybrid of quantum inspired firefly algorithm and artificial bee colony algorithm. [PDF]

Sci Rep
Panliang M, Madaan S, Babikir Ali SA, J G, Khatibi A, Alsoud AR, Mittal V, Kumar L, Santhosh AJ.   +8 more
europepmc   +1 more source

Prediction of compressive strength of concrete based on improved artificial bee colony-multilayer perceptron algorithm. [PDF]

Sci Rep
Li P, Zhang Y, Gu J, Duan S.
europepmc   +1 more source

Optimal feature selection for heart disease prediction using modified Artificial Bee colony (M-ABC) and K-nearest neighbors (KNN). [PDF]

Sci Rep
Khan MA, Mazhar T, Mateen Yaqoob M, Badruddin Khan M, Jilani Saudagar AK, Ghadi YY, Khattak UF, Shahid M.   +7 more
europepmc   +1 more source

Optimization of Fuzzy Control Parameters for Wind Farms and Battery Energy Storage Systems Based on an Enhanced Artificial Bee Colony Algorithm under Multi-Source Sensor Data. [PDF]

Sensors (Basel)
Liu Z, Yang P, Zhang P, Lin X, Wei J, Li N.   +5 more
europepmc   +1 more source

RETRACTED: Application of artificial bee colony algorithm based on homogenization mapping and collaborative acquisition control in network communication security.

PLoS One
Zhang J, Wang H, Wang X.
europepmc   +1 more source

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An artificial bee colony approach for clustering

Expert Systems With Applications, 2010
Clustering is a popular data analysis and data mining technique. In this paper, an artificial bee colony clustering algorithm is presented to optimally partition N objects into K clusters. The Deb's rules are used to direct the search direction of each candidate. This algorithm has been tested on several well-known real datasets and compared with other
Changsheng Zhang
exaly   +2 more sources

A comparative study of Artificial Bee Colony algorithm

Applied Mathematics and Computation, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dervis Karaboga, Bahriye Akay
exaly   +3 more sources

Artificial bee colony programming for symbolic regression

Information Sciences, 2012
Artificial bee colony algorithm simulating the intelligent foraging behavior of honey bee swarms is one of the most popular swarm based optimization algorithms.
Dervis Karaboga, Celal ÖZTÜRK, Nurhan Karaboga   +2 more
exaly   +2 more sources

Solving artificial ant problem using two artificial bee colony programming versions

Applied Intelligence, 2020
Artificialant problem is considered as a sub-problem of robotic path planning. In this study, it is solved using two different methods: artificial bee colony programming and a new version of it called shrinking artificial bee colony programming.
Fateh Boudardara, Beyza Gorkemli
exaly   +2 more sources