Evolutionary optimization: the µGP toolkit

Evolutionary Optimization The µGP Toolkit offers a cohesive, thorough exploration of the scattered material on µGP features that has been presented to and validated by the scientific community, giving a fresh perspective on the subject. The book begins with an overview of the most popular techniques of evolutionary computation, followed by a discussion of the theoretical and practical aspects of µGP. The design and implementation of the tool are described, providing the reader with a conceptual model of the approach and a reference for operation. Several examples are detailed, starting from the informal description of the target problem, proceeding to the writing of syntactic constraints and configuration and to fitness evaluation, ending with actual results. Practitioners, researchers and students will find this volume a valuable reference in working with µGP, whether for the resolution of real-world problems, or for testing theoretical ideas. describes a general-purpose evolutionary algorithm that has been and is currently used by the industrial community for solving real,practical problems an in-depth analysis on how to take advantage of a specific toolkit a practical guide on using the µGP, containing a set of examples to clarify the available choices and advice on how to avoid common errors and misconceptions INDICE: Foreword.- Summary.- Introduction.- Evolutionary computation: a quick resume.- The µGP approach. - Internal representation.- Evolutionary operators.- Performance-directed features.- Configuring an evolutionary run.- Syntaxof the external constraints.- Writing a compliant evaluator.- Implementation details.- Examples and applications.- Conclusions.- References.- Index.

• ISBN: 978-0-387-09425-0
• Editorial: Springer
• Encuadernacion: Cartoné
• Páginas: 250
• Fecha Publicación: 01/06/2010
• Nº Volúmenes: 1
• Idioma: Inglés