Extreme learning machine (ELM)StabilityAccuracyCapabilities of the bat algorithm optimized extreme learning machine (Bat-ELM) model for dew point temperature (Tdew) estimation were evaluated in this study, in comparison with the kernel-based nonlinear extension of Arps decline model (KNEA), the ...
Hence, in the present chapter, we introduce a new ELM optimized using Bat algorithm (Bat-ELM) for modeling hourly DO concentration in river, and we compare its performances with those of the standalone ELM and relevance vector machine (RVM). The three models were compared according to two ...
Additionally, adding a kernel function improves to some extent the fitting accuracy and stability of the traditional extreme learning machine. Finally, the parameters of the KELM model are optimized by the bat optimization algorithm. Two types of carbon prices in the China ETS were used to examine...
The simulations of node deployment based on BA and fruit fly optimization algorithm (FOA) are also demonstrated. In this paper to further increase the coverage rate of sensor nodes the performance of various parameters of bat algorithm such as loudness, pulse emission rate, maximum frequency, grid...
Reprints and permissions About this article Wang, T., Xie, M. IBBA: an improved binary bat algorithm for solving low and high-dimensional feature selection problems.(2025). https://doi.org/10.1007/s13042-025-02588-y Download citation Keywords...
Online estimation of the state of health (SOH) is critical to the safe and stable operation of battery management systems (BMS), which improve energy utilization and ensure battery safety. Therefore, we propose a new algorithm—Kernel Extreme Learning Machine(SOH) based on Bat Algorithm(...
Special Session at CEC2016 (WCCI2016) 25-29 July 2016, Vancouver, Canada Nature-inspired algorithms, especially swarm intelligence based algorithms, have become very popular in optimization and computational intelligence. New algorithms such as the bat algorithm and cuckoo search have demonstrated some ...
Bat algorithm. An essential task of an Intrusion Detection System is to maintain the highest quality and eliminate irrelevant characteristics from the attack. The recommended BAT algorithm is used to select the 41 best features to address this problem. Machine Learning based SVM classifier is used ...
Power systems exhibit nonlinearity. causing dynamic instability and complex power oscillations. This research proposes an innovative strategy using the Novel Bat Algorithm (NBA) to achieve ideal Power System Stabilizers (PSSs) in a multimachine power sys
In Ref. [26], a modified BA (MBA) with elite opposition-based learning and Cauchy mutation operators is adopted to improve the diversity of solutions and thus the algorithm's convergence precision. An enhanced Lévy flight bat algorithm (ELBA) is proposed in Ref. [25], where the local ...