A New Competitive Binary Grey Wolf Optimizer to Solve the Feature Selection Problem in EMG Signals Classification. - Jingwei Too; Abdul Rahim Abdullah; Norhashimah Mohd Saad; Nursabillilah Mohd Ali; Weihown Tee (Comput., 2018)

Hybrid Binary Particle Swarm Optimization Differential Evolution-Based Feature Selection for EMG Signals Classification. - Jingwei Too; Abdul Rahim Abdullah; Norhashimah Mohd Saad (Axioms, 2019)

Binary Competitive Swarm Optimizer Approaches for Feature Selection. - Jingwei Too; Abdul Rahim Abdullah; Norhashimah Mohd Saad (Comput., 2019)

EMG Feature Selection and Classification Using a Pbest-Guide Binary Particle Swarm Optimization. - Jingwei Too; Abdul Rahim Abdullah; Norhashimah Mohd Saad; Weihown Tee (Comput., 2019)

A New Co-Evolution Binary Particle Swarm Optimization with Multiple Inertia Weight Strategy for Feature Selection. - Jingwei Too; Abdul Rahim Abdullah; Norhashimah Mohd Saad (Informatics, 2019)

Binary atom search optimisation approaches for feature selection. - Jingwei Too; Abdul Rahim Abdullah (Connect. Sci., 2020)

General Learning Equilibrium Optimizer: A New Feature Selection Method for Biological Data Classification. - Jingwei Too; Seyedali Mirjalili (Appl. Artif. Intell., 2021)

Boosted Whale Optimization Algorithm With Natural Selection Operators for Software Fault Prediction. - Yousef Hassouneh; Hamza Turabieh; Thaer Thaher; Iyad Tumar; Hamouda Chantar 001; Jingwei Too (IEEE Access, 2021)

Opposition based competitive grey wolf optimizer for EMG feature selection. - Jingwei Too; Abdul Rahim Abdullah (Evol. Intell., 2021)

A Hyper Learning Binary Dragonfly Algorithm for Feature Selection: A COVID-19 Case Study. - Jingwei Too; Seyedali Mirjalili (Knowl. Based Syst., 2021)

Spatial bound whale optimization algorithm: an efficient high-dimensional feature selection approach. - Jingwei Too; Majdi M. Mafarja; Seyedali Mirjalili (Neural Comput. Appl., 2021)

A new and fast rival genetic algorithm for feature selection. - Jingwei Too; Abdul Rahim Abdullah (J. Supercomput., 2021)

Hybrid Generalized Normal Distribution Optimization with Sine Cosine Algorithm for Global Optimization. - Jingwei Too; Ali Safaa Sadiq; Hesam Akbari; Guo Ren Mong; Seyedali Mirjalili (ICHSA, 2022)

A conditional opposition-based particle swarm optimisation for feature selection. - Jingwei Too; Ali Safaa Sadiq; Seyed Mohammad Mirjalili (Connect. Sci., 2022)

Boolean Particle Swarm Optimization with various Evolutionary Population Dynamics approaches for feature selection problems. - Thaer Thaher; Hamouda Chantar 001; Jingwei Too; Majdi M. Mafarja; Hamza Turabieh; Essam H. Houssein (Expert Syst. Appl., 2022)

Memory-based Harris hawk optimization with learning agents: a feature selection approach. - Jingwei Too; Guoxi Liang; Huiling Chen 001 (Eng. Comput., 2022)

An Efficient High-dimensional Feature Selection Approach Driven By Enhanced Multi-strategy Grey Wolf Optimizer for Biological Data Classification. - Majdi M. Mafarja; Thaer Thaher; Jingwei Too; Hamouda Chantar 001; Hamza Turabieh; Essam H. Houssein; Marwa M. Emam (Neural Comput. Appl., 2023)

Trustworthy and Efficient Routing Algorithm for IoT-FinTech Applications Using Nonlinear Lévy Brownian Generalized Normal Distribution Optimization. - Ali Safaa Sadiq; Amin Abdollahi Dehkordi; Seyedali Mirjalili; Jingwei Too; Prashant Pillai (IEEE Internet Things J., 2023)

Classification framework for faulty-software using enhanced exploratory whale optimizer-based feature selection scheme and random forest ensemble learning. - Majdi M. Mafarja; Thaer Thaher; Mohammed Azmi Al-Betar; Jingwei Too; Mohammed A. Awadallah 001; Iyad Abu Doush; Hamza Turabieh (Appl. Intell., 2023)