Classification of COVID-19 X-ray images to determine the patient's health condition is a
critical issue these days since X-ray images provide more information about the patient's …

Nowadays, nature-inspired artificial intelligent metaheuristic optimization algorithms
(MHOAs) have gained many attentions from researchers all over the world due to their …

In power system operation, the combined heat and power economic dispatch (CHPED) is an
attractive and momentous optimization problem where the major objective is to find an …

The seagull optimization algorithm (SOA) is a recently proposed meta-heuristic optimization
algorithm inspired by seagull foraging behavior. It has the advantages of simple structure …

An optimization search technique evaluates the potential solution and frames the better
solution by any of its befitting categories such as quantum-based approaches, meta …

Metaheuristic algorithms, in the field of engineering, have attracted researchers for problem-
solving of complex and non-linear optimization. Many algorithms have been designed to …

In the healthcare system, the Internet of Things (IoT) based distributed systems play a vital
role in transferring the medical-related documents and information among the organizations …

This paper presents a bit mask oriented genetic algorithm based secure medical data
transmission mechanism. A bit mask oriented genetic algorithm (BMOGA) is utilized to …

Firefly algorithm (FA) is an effective meta-heuristic method, which has drawn extensive
attentions and inspired many variants. However, it is difficult to balance the relation of the …

Cuckoo search (CS) has been proven to be one of the most efficient metaheuristic
algorithms in solving global optimization problems. However, it suffers from a slow …