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Application of machine learning models in pharmaceutical engineering for prediction of pharmaceuticals solubility in supercritical solvent: study on phenytoin solubility. [PDF]

Front Chem
Yu S, Chen Y, Qiang W.
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Bat algorithm based control to decrease the control energy consumption and modified bat algorithm based control to increase the trajectory tracking accuracy in robots

Neural Networks, 2023
From the control theory, the best control gain produces a balance between the trajectory tracking accuracy and control energy consumption. The random search of the bat algorithm is one alternative to find the best control gain.
J. J. Rubio
semanticscholar   +3 more sources

Chaotic bat algorithm

Journal of Computational Science, 2014
Abstract Bat algorithm (BA) is a recent metaheuristic optimization algorithm proposed by Yang. In the present study, we have introduced chaos into BA so as to increase its global search mobility for robust global optimization. Detailed studies have been carried out on benchmark problems with different chaotic maps.
Amir H. Gandomi, Xin-She Yang
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Parameter extraction of photovoltaic models using an enhanced Lévy flight bat algorithm

Energy Conversion and Management, 2020
In this paper, a modified version of the bat algorithm (BA), called enhanced Levy flight bat algorithm (ELBA), is proposed for accurate and efficient parameter extraction of different photovoltaic (PV) models from experimental data.
L. Deotti, J. Pereira, I. Junior
semanticscholar   +3 more sources

An improved bat algorithm hybridized with extremal optimization and Boltzmann selection

Expert Systems With Applications, 2021
As a meta-heuristic algorithm, bat algorithm (BA) is based on the characteristics of bat-based echolocation and has been widely used in various aspects of optimization problems since it appeared. However, the original BA still has many shortcomings, such
Min-Rong Chen, Yi-Yuan Huang, Guo-qiang Zeng, Kang-Di Lu, Liu-Qing Yang   +4 more
semanticscholar   +3 more sources

Island bat algorithm for optimization

Expert Systems with Applications, 2018
Abstract Structured population in evolutionary algorithms is a vital strategy to control diversity during the search. One of the most popular structured population strategies is the island model in which the population is divided into several sub-populations (islands). The EA normally search for each island independently. After a number of predefined
Mohammed Azmi Al-Betar, Mohammed A. Awadallah   +1 more
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Self-adaptive Bat Algorithm With Genetic Operations

IEEE/CAA Journal of Automatica Sinica, 2022
Swarm intelligence in a bat algorithm (BA) provides social learning. Genetic operations for reproducing individuals in a genetic algorithm (GA) offer global search ability in solving complex optimization problems.
J. Bi, Haitao Yuan, Jiahui Zhai, Mengchu Zhou, H. Poor   +4 more
semanticscholar   +1 more source

Rolling Bearing Fault Diagnosis With Adaptive Harmonic Kurtosis and Improved Bat Algorithm

IEEE Transactions on Instrumentation and Measurement, 2021
The key of bearing fault feature extraction is to select the optimal resonant frequency band (ORFB) containing fault information with an appropriate index.
Yi Qin, Lei Jin, Aibing Zhang, Biao He
semanticscholar   +1 more source

A wrapper based binary bat algorithm with greedy crossover for attribute selection

Expert systems with applications, 2022
Attribute selection plays a vital role in optimization and machine learning that involves huge datasets. Classification accuracy of any learning model depends on the dimensionality of data and attributes selected.
S. Akila, S. A. Christe
semanticscholar   +1 more source