The advent of new data-mining techniques and, more recently, swarm-based optimization
algorithms have antiquated traditional models in the field of energy performance analysis …

The past five decades have witnessed the unprecedented contribution of arboviral diseases
towards global morbidity and disability. It is primarily attributed due to unplanned …

The diabetic disease is a quick-rising persistent disease among humans. Diabetes is also
named diabetes mellitus, and it is the most significant hazard disease in recent days. In this …

This study presents an extensive analysis of ten emerging swarm intelligence metaheuristic
techniques, namely Emperor Penguins Colony (EPC), Harris Hawks Optimizer (HHO) …

Crude oil has become very important source of energy. It is used by industries for supplying
energy, providing fuel for vehicles etc. It is carried by submarines pipelines, ships and …

Systems of nonlinear equations are known as the basis for many models of engineering and
data science, and their accurate solutions are very critical in achieving progress in these …

This is a new optimization algorithm which mimic the behavior of mosquito to find a hole in
mosquito net, if any. Both the flying and sliding motion of the mosquito have been modelled …

The surveillance of mosquito populations is paramount in the fight against mosquito-borne
diseases that affect millions of people every year. Evaluating the efficiency of mitigation …

This study is related to explore the Gudermannian neural network (GNN) for solving a
nonlinear SITR COVID-19 fractal system by using the optimization efficiencies of a genetic …

Natural phenomena inspire the meta-heuristic algorithm to carry out the aim of reaching the
optimal solution. Glowworm swarm optimization (GSO) is an original swarm intelligence …