Abstract The so-called Fourth Paradigm has witnessed a boom during the past two decades,
with large volumes of observational data becoming available to scientists and engineers …

Metaheuristic algorithms can be summarized as a form of stochastic optimization algorithm
which does not depend on the surface gradient for optimization. These algorithms draw …

Reliable energy consumption forecasting can provide effective decision-making support for
planning development strategies to energy enterprises and for establishing national energy …

Early detection of Diabetic Retinopathy (DR) is crucial as it may cause blindness. Manual
diagnosis of DR severity by ophthalmologists is challenging and time consuming. Therefore …

Layout optimization of wave energy offshore parks is a challenging task, as it encompasses
various design objectives and constraints attributed to the complex hydrodynamic …

Ovarian cancer is one of the leading causes of mortality among women. The most common
detection approach is by tracking related biomarkers to see whether patient has ovarian …

While fake news is morally reprehensible, irresponsible parties intentionally use it to achieve
their goals by disseminating it to vulnerable and targeted groups. Machine learning …

The current study deals with upgrading the Differential Evolution (DE) method by equip**
it with a novel fuzzy decision-making strategy and a new auxiliary agent called Virtual …

Global warming has currently become the most discussed environmental issue. The major
portion of the carbon emission for a product is determined at the design stage of its life cycle …

This chapter presents the review of the seven most preferred stochastic optimization
methods in detail for use in different industrial areas such as engineering, construction …