Genetic Improvement (GI) focuses on the development of evolutionary methods to automate
software engineering tasks, such as performance improvement or software bugs removal …

Genetic Improvement (GI) performs a search at the level of source code to find the best
variant of a baseline system that improves non-functional properties while maintaining …

With rapid development of voice control technology, making speech recognition more
precisely in various IoT domains have been an intractable problem to be solved. Since there …

Smart manufacturing contexts have been experiencing an increasing complexity over the
years, leveraged by higher computational power (CPU/GPU), increasing speed connections …

A topology synthesis method is introduced using genetic algorithms (GA) based on novelty
search (NS). NS is an emerging meta-heuristic, that guides the search based on the novelty …

Robotics technology has made significant advancements in various fields in industry and
society. It is clear how robotics has transformed manufacturing processes and increased …

Designing and developing autonomous robotics systems is quite a challenging and time-
consuming task. Besides that, current robotic systems are expensive and mostly designed to …

Résumé Novelty Search (NS) is a unique approach towards search and optimization, where
an explicit objective function is replaced by a measure of solution novelty. However, NS has …

In this work, we analyse the performance of Novelty Search (NS) in a set of generalization
experiments in a navigation task with Grammatical Evolution. Agents are trained on a single …

In this paper, a new benchmark, for testing the capability of Evolutionary Algorithms to
generate maze solving Exploration Strategies is introduced. This benchmark solves three …