Feature selection has become an indispensable machine learning process for data
preprocessing due to the ever-increasing sizes in actual data. There have been many …

This paper provides an extensive review of the popular multi-objective optimization
algorithm NSGA-II for selected combinatorial optimization problems viz. assignment …

In the fight against SARS-COV-2, the vaccine has become a ubiquitous preventive measure.
Vaccination programs for COVID-19 are inadvertently creating large amounts of bio-medical …

This study develops a novel mathematical model to design a sustainable mask Closed-Loop
Supply Chain Network (CLSCN) during the COVID-19 outbreak for the first time. A multi …

This paper presents a nature-inspired metaheuristic called Marine Predators Algorithm
(MPA) and its application in engineering. The main inspiration of MPA is the widespread …

This paper proposes a nature-inspired swarm-based metaheuristic for solving global
optimization problems called Golden Eagle Optimizer (GEO). The core inspiration of GEO is …

This research proposes an Archive-based Multi-Objective Arithmetic Optimization Algorithm
(MAOA) as an alternative to the recently established Arithmetic Optimization Algorithm (AOA) …

This paper presents a new Reinforcement Learning (RL)-based control approach that uses
the Policy Iteration (PI) and a metaheuristic Grey Wolf Optimizer (GWO) algorithm to train the …

Metaheuristics are an impressive area of research with extremely important improvements in
the solution of intractable optimization problems. Major advances have been made since the …

Artificial hummingbird algorithm (AHA) is a recently developed bio-based metaheuristic and
it shows superior performance in handling single-objective optimization problems. Despite …