Ernesto Sanchez, Massimiliano Schillaci, Giovanni Squillero
This book describes an award-winning evolutionary algorithm that outperformed experts and conventional heuristics in solving several industrial problems. It presents a discussion of the theoretical and practical aspects that enabled μGP (MicroGP) to autonomously find the optimal solution of hard problems, handling highly structured data, such as full-fledged assembly programs, with functions and interrupt handlers.
For a practitioner, μGP is simply a versatile optimizer to tackle most problems with limited setup effort. The book is valuable for all who require heuristic...
This book describes an award-winning evolutionary algorithm that outperformed experts and conventional heuristics in solving several industrial pro...
Ernesto Sanchez, Massimiliano Schillaci, Giovanni Squillero
This book describes an award-winning evolutionary algorithm that outperformed experts and conventional heuristics in solving several industrial problems. It presents a discussion of the theoretical and practical aspects that enabled μGP (MicroGP) to autonomously find the optimal solution of hard problems, handling highly structured data, such as full-fledged assembly programs, with functions and interrupt handlers.
For a practitioner, μGP is simply a versatile optimizer to tackle most problems with limited setup effort. The book is valuable for all who require heuristic...
This book describes an award-winning evolutionary algorithm that outperformed experts and conventional heuristics in solving several industrial pro...