Quality-diversity in problems with composite solutions: a case study on body–brain robot optimization

• Published in: Genetic programming and evolvable machines Vol. 26; no. 2
• Main Authors: Medvet, Eric, Lippolis, Samuele, Nadizar, Giorgia
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.12.2025; Springer Nature B.V
• Subjects: Archives & records; Artificial Intelligence; Biomedical Engineering and Bioengineering; Brain; Case studies; Compilers; Computer Science; Electrical Engineering; Evolutionary algorithms; Interpreters; Optimization; Programming Languages; Programming Techniques; Robots; Software Engineering/Programming and Operating Systems; Performance indexes; MAP-elites; Co-evolution

When considering those optimization problems where the solution is a combination of two parts, as, e.g., the concurrent optimization of the body and the brain of a robotic agent, one might want to solve them “in a quality-diversity (QD) way”, i.e. , obtaining not just one very good solution, but a s...