Funding Organisations

Dynamic Salp Swarm Algorithm for Feature Selection: https://doi.org/10.1016/j.eswa.2020.113873

Improved Whale Optimization Algorithm applied to design PID plus second-order derivative controller for automatic voltage regulator system: https://doi.org/10.1080/02533839.2020.1771205

An efficient equilibrium optimizer with mutation strategy for numerical optimization:  https://doi.org/10.1016/j.asoc.2020.106542 

A Dynamic Locality Multi-Objective Salp Swarm Algorithm for Feature Selection:  https://doi.org/10.1016/j.cie.2020.106628 

Approaches to Multi-Objective Feature Selection: A Systematic Literature Review:  https://ieeexplore.ieee.org/abstract/document/9133433 

Vision-based personalized Wireless Capsule Endoscopy for smart healthcare: Taxonomy, literature review, opportunities and challenges: https://doi.org/10.1016/j.future.2020.06.048 

Binary Multi-Objective Grey Wolf Optimizer for Feature Selection in Classification:  https://ieeexplore.ieee.org/abstract/document/9108264 

Fractional-order cuckoo search algorithm for parameter identification of the fractional-order chaotic, chaotic with noise and hyper-chaotic financial systems:  https://doi.org/10.1016/j.engappai.2020.103662 

Multiple scenarios multi-objective salp swarm optimization for sizing of standalone photovoltaic system:  https://doi.org/10.1016/j.renene.2020.02.016 

Efficient design of wideband digital fractional order differentiators and integrators using multi-verse optimizer:  https://doi.org/10.1016/j.asoc.2020.106340 

Special issue on “real-world optimization problems and meta-heuristics”: https://doi.org/10.1007/s00521-020-04966-9

Introducing clustering based population in Binary Gravitational Search Algorithm for Feature Selection:  https://doi.org/10.1016/j.asoc.2020.106341 

A harmonic estimator design with evolutionary operators equipped grey wolf optimizer:  https://doi.org/10.1016/j.eswa.2019.113125 

Improved Salp Swarm Algorithm based on opposition based learning and novel local search algorithm for feature selection:  https://doi.org/10.1016/j.eswa.2019.113122 

A set of efficient heuristics for a home healthcare problem: https://doi.org/10.1007/s00521-019-04126-8

Neuroevolution-based Autonomous Robot Navigation: A Comparative Study:  https://doi.org/10.1016/j.cogsys.2020.04.001 

Fractional-order calculus-based flower pollination algorithm with local search for global optimization and image segmentation:  https://doi.org/10.1016/j.knosys.2020.105889 

Ant Lion Optimizer: A Comprehensive Survey of Its Variants and Applications: https://doi.org/10.1007/s11831-020-09420-6

A Modified Sine Cosine Algorithm with Novel Transition Parameter and Mutation Operator for Global Optimization:  https://doi.org/10.1016/j.eswa.2020.113395 

Selective opposition based grey wolf optimization: https://doi.org/10.1016/j.eswa.2020.113389 

Marine predators algorithm: A nature-inspired Metaheuristic:  https://doi.org/10.1016/j.eswa.2020.113377 

Comparison of recent optimization algorithms for design optimization of a cam-follower mechanism:  https://doi.org/10.1016/j.knosys.2019.105237 

 Equilibrium optimizer: A novel optimization algorithm:  https://doi.org/10.1016/j.knosys.2019.105190 

 Whale optimization algorithm with applications to resource allocation in wireless networks:  https://ieeexplore.ieee.org/abstract/document/8993843 

Time-varying hierarchical chains of salps with random weight networks for feature selection:  https://doi.org/10.1016/j.eswa.2019.112898 

Clustering analysis using a novel locality-informed grey wolf-inspired clustering approach: https://doi.org/10.1007/s10115-019-01358-x

 Accelerated grey wolf optimiser for continuous optimisation problems: https://doi.org/10.1504/IJSI.2020.106404

Efficient hybrid nature-inspired binary optimizers for feature selection: https://doi.org/10.1007/s12559-019-09668-6

A new fusion of grey wolf optimizer algorithm with a two-phase mutation for feature selection:  https://doi.org/10.1016/j.eswa.2019.112824