Real-word large-scale optimisation problems often result in local optima due to their large
search space and complex objective function. Hence, traditional evolutionary algorithms …

The majority of complex research problems can be formulated as optimization problems.
Particle Swarm Optimization (PSO) algorithm is very effective in solving optimization …

Feature selection is the utmost requirement to deal with high dimensional datasets. Fuzzy
logic and particle swarm optimization are the two very popular soft computing methods …

Big data is a commodity which is highly valued in the entire globe. It is not just regarded as
data but in the world of experts, we can derive intelligence from it. Because of it's …

Due to its simplicity and fast convergence speed, the particle swarm optimization (PSO)
algorithm has been applied in many fields to solve various optimization problems. An …

Early diagnoses helps in curing most diseases or in making them more bearable, hence it is
vital to enhance the accuracy of predicting chronic diseases. Machine learning (ML) in …

Abstract Machine learning (ML) in artificial intelligence enables the computers to learn
without being explicitly programmed. Extreme Learning Machine (ELM) is one of the …