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 …

An important part of the Industry 4.0 vision is the use of machine learning (ML) techniques to
create novel capabilities and flexibility in industrial production processes. Currently, there is …

While many companies aim to use Machine Learning (ML) models, transitioning to
deployment and practical application of such models can be very time-consuming and …

While many companies aim to use Machine Learning (ML) models, transitioning to
deployment and practical application of such models can be very time-consuming and …

Genetic Programming (GP) is an important approach to deal with complex problem analysis
and modeling, and has been applied in a wide range of areas. The development of GP …

abstract MLOps have become an increasingly important topic in the deployment of machine
learning in production. While Machine Learning Operations was predominantly used as a …

Grammar Evolution (GE) can be considered a form of Genetic Programming (GP) that has
become very popular in the field of Automatic Programming (AP) over the last few years …

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 …

Grammar Evolution (GE) represents a variant of Genetic Programming that has gained
substantial popularity in recent years within the field of Automatic Programming. Extensive …

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 …