A novel hybrid hunger games search algorithm with differential evolution for improving the behaviors of non-cooperative animals

S Li, X Li, H Chen, Y Zhao, J Dong - IEEE Access, 2021 - ieeexplore.ieee.org
Inspired by the behaviors of animals in the state of starvation, hunger games search
algorithm (HGS) is proposed. HGS has shown competitive performance among other meta …

A comparative study of nature-inspired metaheuristic algorithms using a three-phase hybrid approach for gene selection and classification in high-dimensional cancer …

SS Hameed, WH Hassan, LA Latiff… - Soft Computing, 2021 - Springer
Identification of informative genes is essential for the disease and cancer studies.
Metaheuristic algorithms have been widely used for this purpose. However, their …

Multi-objective wrapper-based feature selection using binary cuckoo optimisation algorithm: A comparison between NSGAII and NSGAIII

AM Usman, UK Yusof, S Naim, AU Abdullahi… - … and Technologies for …, 2021 - Springer
Feature selection (FS) is one of the data mining methods that is used to select the most
relevant subsets of features from a stored data while eliminating the irrelevant ones and yet …

A hybrid cuckoo search algorithm for cost optimization of mechanically stabilized earth walls

M Altun, Y Yalcin, O Pekcan - … of Cuckoo Search Algorithm and its Variants, 2021 - Springer
Having a wide range of applications in civil engineering practice, Mechanically Stabilized
Earth Walls (MSEWs) are regarded as efficient and reliable alternatives to the conventional …

Identification of Acoustic Emission Signals for Bearings Fault Based on Neural Network of Cuckoo Search Algorithm

P Yang, Y Li, Y Yu - … in Acoustic Emission Technology: Proceedings of the …, 2021 - Springer
As the key component of rotating machinery, rolling bearings often fail to the wear during the
long-term operation which directly affects the safe and stable operation of the units. In this …