Genetic Programming Theory and Practice III: Genetic Programming, cartea 9
Editat de Tina Yu, Rick Riolo, Bill Worzelen Limba Engleză Hardback – 9 dec 2005
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Specificații
ISBN-13: 9780387281100
ISBN-10: 038728110X
Pagini: 309
Ilustrații: XVI, 310 p.
Dimensiuni: 156 x 235 x 23 mm
Greutate: 0.67 kg
Ediția:2006
Editura: Springer Us
Colecția Springer
Seria Genetic Programming
Locul publicării:New York, NY, United States
ISBN-10: 038728110X
Pagini: 309
Ilustrații: XVI, 310 p.
Dimensiuni: 156 x 235 x 23 mm
Greutate: 0.67 kg
Ediția:2006
Editura: Springer Us
Colecția Springer
Seria Genetic Programming
Locul publicării:New York, NY, United States
Public țintă
ResearchCuprins
Genetic Programming: Theory and Practice.- Evolving Swarming Agents in Real Time.- Automated Design of a Previously Patented Aspherical Optical Lens System by Means of Genetic Programming.- Discrimination of Unexploded Ordnance from Clutter Using Linear Genetic Programming.- Rapid Re-Evolution of an X-Band Antenna for Nasa’s Space Technology 5 Mission.- Variable Selection in Industrial Datasets Using Pareto Genetic Programming.- A Higher-Order Function Approach to Evolve Recursive Programs.- Trivial Geography in Genetic Programming.- Running Genetic Programming Backwards.- An Examination of Simultaneous Evolution of Grammars and Solutions.- The Importance of Local Search.- Content Diversity in Genetic Programming and Its Correlation with Fitness.- Genetic Programming Inside a Cell.- Evolution on Neutral Networks in Genetic Programming.- The Effects of Size and Depth Limits on Tree Based Genetic Programming.- Application Issues of Genetic Programming in Industry.- Challenges in Open-Ended Problem Solving with Genetic Programming.- Domain Specificity of Genetic Programming Based Automated Synthesis: A Case Study with Synthesis of Mechanical Vibration Absorbers.- Genetic Programming in Industrial Analog CAD: Applications and Challenges.
Textul de pe ultima copertă
Genetic Programming Theory and Practice III explores the emerging interaction between theory and practice in the cutting-edge, machine learning method of Genetic Programming (GP). This contributed volume was developed from the third workshop at the University of Michigan’s Center for the Study of Complex Systems to facilitate the exchange of ideas and information related to this rapidly advancing field. 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, discussing such topics as:
The foremost international researchers and practitioners in the GP arena contributed to the volume, discussing such topics as:
- techniques to enhance GP capabilities with real-world applications and real-world application success stories from a variety of domains, including chemical and process control, informatics, and circuit design
- visualization models to understand GP processing and
- open challenges facing the community and potential research directions
Caracteristici
Provides researchers and industry professionals with the most recent developments in Genetic Programming theory and practice Contributions by GP theorists from major universities and active practitioners from industries examine how GP theory informs practice and how GP practice impacts GP theory Applications include chemical process control, informatics, and circuit design, to name a few Includes supplementary material: sn.pub/extras