Genetic Programming Theory and Practice IV (Genetic and Evolutionary Computation)

ISBN 10: 1441941231 / ISBN 13: 9781441941237

Published by Springer, 2010

About this Item

Seller Inventory # ABLIING23Mar2411530295609

Bibliographic Details

• Title: Genetic Programming Theory and Practice IV (Genetic and Evolutionary Computation)
• Publisher: Springer
• Publication Date: 2010
• Language: English
• ISBN 10: 1441941231
• ISBN 13: 9781441941237
• Binding: Soft cover
• Condition: New

About this title

Synopsis

Genetic Programming Theory and Practice IV was developed from the fourth workshop at the University of Michigan’s Center for the Study of Complex Systems to facilitate the exchange of ideas and information related to the rapidly advancing field of Genetic Programming (GP). The text provides a cohesive view of the issues facing both practitioners and theoreticians, and examines the synergy between GP theory and application. The foremost international researchers and practitioners in the GP arena contributed to the volume, exploring application areas including chemical process control, circuit design, financial data mining and bioinformatics, to name just a few.

This volume is the result of an extensive dialog between GP theoreticians and practitioners, and is a unique and indispensable tool for both academics and industry professionals involved in GP, evolutionary computation, machine learning and artificial intelligence.

From the Back Cover

Genetic Programming Theory and Practice IV was developed from the fourth workshop at the University of Michigan’s Center for the Study of Complex Systems to facilitate the exchange of ideas and information related to the rapidly advancing field of Genetic Programming (GP). Contributions from the foremost international researchers and practitioners in the GP arena examine the similarities and differences between theoretical and empirical results on real-world problems. The text explores the synergy between theory and practice, producing a comprehensive view of the state of the art in GP application.

This valuable reference discusses the hurdles faced in solving large-scale, cutting edge applications, describes promising techniques, including fitness approximation, Pareto optimization, cooperative teams, solution caching, and experiment control, and investigates evolutionary approaches such as financial modeling, bioinformatics, symbolic regression for system modeling, and evolutionary design of circuits and robot controllers.

Genetic Programming Theory and Practice IV represents a watershed moment in the GP field in that GP has begun to move from hand-crafted software used primarily in academic research, to an engineering methodology applied to commercial applications. It is a unique and indispensable tool for academics, researchers and industry professionals involved in GP, evolutionary computation, machine learning and artificial intelligence.