Artificial Intelligence (AI) systems applications are widespread due to its domain
independent characteristics. In this work, an attempt has been made for review on AI …

This paper is focused on the concise review of the specific applications of genetic algorithms
in forecasting commodity prices. Genetic algorithms seem relevant in this field for many …

Data envelopment analysis or DEA methodology is employed for assessing the relative
efficiency of different homogeneous units. Through DEA one can analyze the areas which …

Since year 1989, genetic algorithms (GAs) have been increasingly and successfully used for
various computational purposes (optimization, design, modelling, and control) in science …

Genetic algorithms (GAs) are perhaps the oldest and most frequently used search
techniques for dealing with complex and intricate real-life problems that are otherwise …

The present study focuses on embedding the Supply chain management concepts on to the
education sector ie educational supply chain management. It is an important area of …

The growing energy demand around the world has increased the usage of renewable
energy sources (RES) such as photovoltaic and wind energies. The combination of …

The necessity for an external control mechanism that optimizes daily urban trips becomes
evident when considering numerous factors at play within a complex environment. This …

The utilization of nature-inspired algorithms for logistic domains and its potential to manage
uncertainty evolve solutions and conduct optimization leftovers to be an antecedent …

Stress is a major psychological disorder that conspicuously affects the psychological and
physiological behavior of humans. Here, a dataset of MBA/MCA students is collected and …