Results 151 to 160 of about 9,168 (188)

Rank charged system search algorithm for optimization and operations research. [PDF]

Sci Rep
Rabiei MH, Eilbeigi E, Talatahari S, Alami M, Chen F, Gandomi AH.   +5 more
europepmc   +1 more source

Pediatric diabetes prediction using machine learning. [PDF]

Sci Rep
El-Sayyid El-Bashbishy A, El-Bakry HM.
europepmc   +1 more source

Semi-supervised GAN with hybrid regularization and evolutionary hyperparameter tuning for accurate melanoma detection. [PDF]

Sci Rep
Golkarieh A, Razmara P, Lagzian A, Dolatabadi A, Mousavirad SJ.   +4 more
europepmc   +1 more source

Application of Levy flight-based harmony search algorithm for the flexible job shop scheduling. [PDF]

Sci Rep
Li J, Zhou Y.
europepmc   +1 more source

Unsupervised Hyperspectral Band Selection Using Spectral-Spatial Iterative Greedy Algorithm. [PDF]

Sensors (Basel)
Yang X, Wang W.
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Enhanced opposition-based American zebra optimization algorithm for global optimization. [PDF]

Sci Rep
Mohapatra S, Chandran V, Kaliyaperumal D, Mohapatra P.   +3 more
europepmc   +1 more source

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A discrete artificial bee colony algorithm for quadratic assignment problem

Journal of High Speed Networks, 2022
The quadratic assignment problem (QAP) is a well-known challenging combinational optimization problem that has received many researchers’ attention with varied real-world and industrial applications areas. Using the framework of basic artificial bee colony algorithm, frequently used crossover and mutation operators, and combined with an effective local
Peng, Zhong-yuan, Huang, Yun-ji, Zhong, Yu-bin   +2 more
openaire   +1 more source

A Discrete Artificial Bees Colony Inspired Biclustering Algorithm

International Journal of Swarm Intelligence Research, 2012
Biclustering methods are the potential data mining technique that has been suggested to identify local patterns in the data. Biclustering algorithms are used for mining the web usage data which can determine a group of users which are correlated under a subset of pages of a web site.
R. Rathipriya, K. Thangavel
openaire   +1 more source

Alignment of biological sequences by discrete Artificial Bee Colony algorithm

2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015
Multiple Sequence Alignment (MSA) problem based on aligning three or more biological sequences by considering the maximization of similarity is one of the most important problem in bioinformatics. In this paper, a new Artificial Bee Colony (ABC) algorithm inspired by the intelligent foraging behavior of honey bees is proposed to generate optimum ...
ASLAN, SELÇUK, ÖZTÜRK , CELAL
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