Results 21 to 30 of about 4,989 (215)
ABC-sampling for Balancing Imbalanced Datasets Based on Artificial Bee Colony Algorithm [PDF]
2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA), 2015 Class imbalanced data is a common problem for predictive modelling in domains such as bioinformatics. It occurs when the distribution of classes is not uniform among samples and results in a biased prediction of learning towards majority classes. In this study, we propose the ABC-Sampling algorithm based on a swarm optimization method called Artificial
Ali Braytee +3 more
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A Multiuser Detector Based on Artificial Bee Colony Algorithm for DS-UWB Systems
The Scientific World Journal, 2013 Artificial Bee Colony (ABC) algorithm is an optimization algorithm based on the intelligent behavior of honey bee swarm. The ABC algorithm was developed to solve optimizing numerical problems and revealed premising results in processing time and solution
Zhendong Yin, Xiaohui Liu, Zhilu Wu
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Algorithms, 2022 Agricultural machinery rental is a new service form that uses big data in agriculture to improve the utilization rate of agricultural machinery and promote the development of the agricultural economy.
Jialin Hou +4 more
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A novel artificial bee colony based clustering algorithm for categorical data.
PLoS ONE, 2015 Data with categorical attributes are ubiquitous in the real world. However, existing partitional clustering algorithms for categorical data are prone to fall into local optima. To address this issue, in this paper we propose a novel clustering algorithm,
Jinchao Ji +4 more
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BQIABC: A new Quantum-Inspired Artificial Bee Colony Algorithm for Binary Optimization Problems [PDF]
Journal of Artificial Intelligence and Data Mining, 2018 Artificial bee colony (ABC) algorithm is a swarm intelligence optimization algorithm inspired by the intelligent behavior of honey bees when searching for food sources.
F. Barani, H. Nezamabadi-pour
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A Hybrid Enhancement Artificial Bee Colony Algorithm for High-efficiency Service Selection
Journal of Harbin University of Science and Technology, 2021 In order to implement service selection efficiently，and to build a complex software service system that can meet the needs of users by using service aggregation method，this paper proposes a Hybrid Enhancement Artificial Bee Colony ( HEABC) algorithm. The
ZHANG Hong-guo +4 more
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A Learnable Artificial Bee Colony Algorithm for Numerical Function Optimization
, 2013 To improve optimizing performance of artificial bee colony (ABC), a new algorithm called learnable artificial bee colony (LABC) is presented in this paper.
Nan L(南琳) +7 more
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An Improved Artificial Bee Colony for Feature Selection in QSAR
Algorithms, 2021 Quantitative Structure–Activity Relationship (QSAR) aims to correlate molecular structure properties with corresponding bioactivity. Chance correlations and multicollinearity are two major problems often encountered when generating QSAR models.
Yanhong Lin +4 more
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ENHANCED ALGORITHM OF ARTIFICIAL BEE COLONY (ABC) TO OPTIMIZE MODELS OF SYSTEM RELIABILITY
International Journal of Advanced Research, 2021 In recent times, computer software applications are increasingly becoming an essential basis in several multipurpose domains including medicine, engineering, transportation etc. Consequently, with such wide implementation of software, the imperative need of ensuring certain software quality physiognomies such as efficiency, reliability and stability ...
Samuel Acquah +2 more
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PID Controller Parameter Optimized by Reformative Artificial Bee Colony Algorithm
Journal of Mathematics, 2022 The PID parameters determine the PID controller performance. A reformative artificial bee colony (RABC) algorithm is proposed for the PID parameter optimization problem. The algorithm balances the exploitation capability and exploration capability of the
Hualong Du +4 more
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