The advent of cloud-based super-computing platforms has given rise to a Data Science (DS)
boom. Many types of technological problems that were once considered prohibitively …

Computational cost in metaheuristics such as Evolutionary Algorithm (EAs) is often a major
concern, particularly with their ability to scale. In data-based training, traditional EAs typically …

This paper provides an analytical review of the subject area, approaches and methods for
real-time control systems with application of the machine learning. The review helps to …

The analysis of time efficiency and solution size has recently gained huge interest among
researchers of Grammatical Evolution (GE). The voluminous data have led to slower …

In today's digital age, the demand for increasingly complex digital circuits spans applications
ranging from watches to spacecraft. To meet this demand, circuit design automation using …