A Novel Quantum‐Behaved Bat Algorithm with Mean Best Position Directed for Numerical Optimization

B Zhu, W Zhu, Z Liu, Q Duan… - Computational intelligence …, 2016 - Wiley Online Library
This paper proposes a novel quantum‐behaved bat algorithm with the direction of mean
best position (QMBA). In QMBA, the position of each bat is mainly updated by the current …

Grading ring parameters optimization for 220 kV metal‐oxide arrester using 3D‐FEM method and bat algorithm

N Alti, A Bayadi, K Belhouchet - IET Science, Measurement & …, 2021 - Wiley Online Library
Aging of metal oxide surge arresters is mainly affected by the high electric stress near the
high voltage electrode. It has been observed that the distribution of voltage and electric field …

Applications of nature-inspired meta-heuristic algorithms: A survey

A Singh, A Kumar - International Journal of Advanced …, 2021 - inderscienceonline.com
Nature-inspired meta-heuristic algorithms (NIMAs) combine the properties of nature-inspired
and mete-heuristic algorithms. Evolutionary inspired and swarm-inspired algorithms are the …

A double-subpopulation variant of the bat algorithm

L Jun, L Liheng, W Xianyi - Applied Mathematics and Computation, 2015 - Elsevier
The bat algorithm (BA), which has been demonstrated to be competitive with some
conventional nature-inspired algorithms, such as particle swarm optimization (PSO) and …

[PDF][PDF] An improved bat algorithm based on novel initialization technique for global optimization problem

WH Bangyal, J Ahmad, TR Hafiz… - International journal of …, 2018 - researchgate.net
Bat algorithm (BA) is a nature-inspired metaheuristic algorithm which is widely used to solve
the real world global optimization problem. BA is a population-based intelligent stochastic …

A Hybrid Discrete Bat Algorithm with Krill Herd-based advanced planning and scheduling tool for the capital goods industry

S Chansombat, P Musikapun… - … Journal of Production …, 2019 - Taylor & Francis
Capital goods companies produce high value products such as power plant or ships, which
have deep and complex product structures, with components having long process routings …

DT-FNN based effective hybrid classification scheme for twitter sentiment analysis

H Naz, S Ahuja, D Kumar, Rishu - Multimedia Tools and Applications, 2021 - Springer
Sentiment analysis refers to the interpretation and computational study of emotions, opinions
and appraisals within the text data using text analysis methods. A basic aim of sentiment …

A novel bat algorithm using sobol sequence for the initialization of population

M Junaid, WH Bangyal, J Ahmad - 2020 IEEE 23rd …, 2020 - ieeexplore.ieee.org
Evolutionary and Swarm intelligence algorithms are widely used for global optimization
problems. Bat Algorithm is one such algorithm based on a population-based metaheuristic …

Modified bat algorithm with cauchy mutation and elite opposition-based learning

FAP Paiva, CRM Silva, IVO Leite… - 2017 IEEE Latin …, 2017 - ieeexplore.ieee.org
Metaheuristics can be used to solve optimization complex problems because they offer
approximate and acceptable solutions. In recent years, nature has been a source of …

A technical survey on intelligent optimization grouping algorithms for finite state automata in deep packet inspection

P Samuel, S Subbaiyan, B Balusamy… - … Methods in Engineering, 2021 - Springer
Construction and deployment of finite state automata from the regular expressions might
results in huge overhead and results in the state explosion problem which is in need of large …