An improved wolf pack algorithm

Q Zhao, R Tao, J Li, Y Mu - 2020 Chinese Control And …, 2020 - ieeexplore.ieee.org
This paper aims to overcome the shortcomings of original wolf pack algorithm (WPA). The
shortcomings of original WPA include fixed scouting directions, scouting step length that …

A hybrid quantum-based PIO algorithm for global numerical optimization

B Chen, H Lei, H Shen, Y Liu, Y Lu - Science China Information Sciences, 2019 - Springer
A novel hybrid quantum-based pigeon-inspired optimization (PIO) algorithm for global
numerical optimization is proposed to perceive deceptiveness and preserve diversity. In the …

Particle Swarm Optimization (PSO) of power allocation in cognitive radio systems with interference constraints

S Motiian, M Aghababaie… - 2011 4th IEEE …, 2011 - ieeexplore.ieee.org
Cognitive radio is used for enhancement of spectrum efficiency. Although many works have
been accomplished on the power allocation of cognitive radio, limited efforts have …

Lion swarm optimisation‐based tuning method for generalised predictive fractional‐order PI to control the speed of brushless direct current motor

T Wang, H Wang, H Hu, J Qing… - IET Electric Power …, 2022 - Wiley Online Library
In order to enhance the speed tracking performance of brushless direct current motor
(BLDCM), a new generalised predictive fractional‐order PI (GPFOPI) control algorithm …

Dynamic hand gesture recognition using LMC for flower and plant interaction

L Liu, Y Huai - International Journal of Pattern Recognition and …, 2019 - World Scientific
As the recent novel somatosensory devices become more pervasive, dynamic hand gesture
recognition algorithm has attracted substantial research attention and has been widely used …

Improved cluster collaboration algorithm based on wolf pack behavior

W Liang, J He, S Wang, L Yang, F Chen - Cluster Computing, 2019 - Springer
Swarm intelligence inspired algorithms have so many profound natural advantages in
solving large-scale and distributed problems. This paper systematically analyzes the …

Bio-inspired algorithm for optimizing the localization of wireless sensor networks

A Tamizharasi, R Arthi… - 2013 Fourth International …, 2013 - ieeexplore.ieee.org
Wireless Sensor Networks (WSNs) are networks of spatially distributed autonomous nodes
used to perform various monitoring tasks. Localization is one of the challenging issues in …

Energy efficient network selection for cognitive spectrum handovers

A Haldorai, U Kandaswamy, A Haldorai… - … Spectrum Handovers in …, 2019 - Springer
The investigation in this chapter presents various techniques and methods of progress in the
area of cognitive network cooperative spectrum handovers. CR handovers are represented …

Hybrid railway vehicle trajectory optimisation using a non‐convex function and evolutionary hybrid forecast algorithm

T Din, Z Tian, SMAM Bukhari… - IET Intelligent …, 2023 - Wiley Online Library
This paper introduces a novel optimisation algorithm for hybrid railway vehicles, combining
a non‐linear programming solver with the highly efficient “Mayfly Algorithm” to address a …

A Knowledge-Based hybrid approach on particle swarm optimization using hidden Markov models

M Castillo, R Soto, B Crawford, C Castro, R Olivares - Mathematics, 2021 - mdpi.com
Bio-inspired computing is an engaging area of artificial intelligence which studies how
natural phenomena provide a rich source of inspiration in the design of smart procedures …