Recently, an explosive growth in the potential use of natural metaphors in modelling and
solving large-scale non-linear optimization problems. Artificial neural network (ANN) is a …

The financial market volatility has been a focus of study for experts over past decades. While
stockbrokers and investors expect reliable projections of future stock indices, it instead …

This paper employs the recently proposed nature-inspired algorithm called Multi-Verse
Optimizer (MVO) for training the Multi-layer Perceptron (MLP) neural network. The new …

Sentiment analysis is crucial in various systems such as opinion mining and predicting.
Considerable research has been done to analyze sentiment using various machine learning …

Dew point temperature (DPT) is known to fluctuate in space and time regardless of the
climatic zone considered. The accurate estimation of the DPT is highly significant for various …

Although significant research has gone into the field of electrical discharge machining
(EDM), analysis related to the machining efficiency of the process with different electrodes …

Image processing is among the significant areas of growth in the current scenario. It consist
of a set of techniques typically used to enhance the raw image obtained from different …

The economic load dispatch problem is a non-convex and non-linear optimization problem
due to the inclusion of practical features such as valve point effects, prohibited operating …

Symbiotic organisms search (SOS) is a new robust and powerful metaheuristic algorithm,
which stimulates the symbiotic interaction strategies adopted by organisms to survive and …

Therapeutic issues are commonly found in every single person. Tumor is a standout among
the most unsafe sicknesses a human can ever had. It is exceptionally hard to distinguish it in …