[HTML][HTML] Recent advances of bat-inspired algorithm, its versions and applications

ZAA Alyasseri, OA Alomari, MA Al-Betar… - Neural Computing and …, 2022 - Springer
Bat-inspired algorithm (BA) is a robust swarm intelligence algorithm that finds success in
many problem domains. The ecosystem of bat animals inspires the main idea of BA. This …

新型群体智能优化算法综述.

高岳林, 杨钦文, 王晓峰, 李嘉航… - Journal of Zhengzhou …, 2022 - search.ebscohost.com
智能优化算法主要分为4 类: 仿自然优化算法, 进化算法, 仿植物生长算法和群体智能优化算法,
其中群体智能优化算法是最为重要的一类算法. 智能优化算法与图像处理, 故障检测, 路径规划 …

Chaotic arithmetic optimization algorithm

XD Li, JS Wang, WK Hao, M Zhang, M Wang - Applied Intelligence, 2022 - Springer
Abstract Arithmetic Optimization Algorithm (AOA) is a meta-heuristic algorithm. Its main idea
is to use the distribution behavior of the four main mathematical operators of addition (A) …

Online and offline streaming feature selection methods with bat algorithm for redundancy analysis

S Eskandari, M Seifaddini - Pattern Recognition, 2023 - Elsevier
Streaming feature selection (SFS), is the task of selecting the most informative features in
dealing with high-dimensional or incrementally growing problems. Several SFS algorithms …

Variants of bat algorithm for solving partitional clustering problems

Y Kumar, A Kaur - Engineering with Computers, 2022 - Springer
Clustering is an exploratory data analysis technique that organize the data objects into
clusters with optimal distance efficacy. In this work, a bat algorithm is considered to obtain …

LED layout optimization in visible light communication system by a hybrid immune clonal bat algorithm

H Che, P Wang, S Chi, Y Sun, T Yang, Z Wang - Optics Communications, 2022 - Elsevier
To enhance the flatness of received optical power distribution, a hybrid immune clonal bat
algorithm (ICBA) combining the bat algorithm (BA) with an immune clonal algorithm (ICA) …

[HTML][HTML] Hybrid-based bat optimization with fuzzy C-means algorithm for breast cancer analysis

C Valliappa, R Rajendran… - International Journal …, 2021 - journals.lww.com
Background: Breast cancer is one of the most frequent types of cancer among women and
early identification can reduce the mortality rate drastically. Feature selection is one of the …

Metaheuristic-Based Machine Learning Approach for Customer Segmentation

PZ Lappas, SZ Xanthopoulos… - … for Machine Learning …, 2022 - Springer
In the globalized knowledge economy, the challenge of translating best available evidence
from customer profiling and experience into policy and practice is universal. Customers are …

Short Term Traffic Flow Prediction Method based on Fuzzy Clustering Algorithm

H Xie, F Jin, H Li - 2021 5th Annual International Conference on …, 2021 - ieeexplore.ieee.org
With the rapid development of urbanization, the number of urban motor vehicles is rising
rapidly, and the contradiction between supply and demand of urban traffic is increasingly …

[HTML][HTML] Adaptive Enhancement for Coal-Rock Cutting Sound Based on Parameter Self-Tuning Bistable Stochastic Resonance Model

J Xu, J Xu, C Ren, Y Liu, N Sun - Axioms, 2022 - mdpi.com
The traditional bistable stochastic resonance model has always had the drawback of being
difficult when choosing accurate system parameters when a weak signal is enhanced. This …