Recent advances in simulated evolution and learning / editors, Kay Chen Tan ... [et al.].

Format:

Book

Contributor:

Tan, K. C.

Series:

Advances in natural computation ; v. 2.

Advances in natural computation ; v. 2

Language:

English

Subjects (All):

Computer simulation--Congresses.

Computer simulation.

Evolutionary programming (Computer science)--Congresses.

Evolutionary programming (Computer science).

Physical Description:

1 online resource (836 p.)

Place of Publication:

Singapore ; River Edge, NJ : World Scientific, c 2004.

Language Note:

English

Summary:

Inspired by the Darwinian framework of evolution through natural selection and adaptation, the field of evolutionary computation has been growing very rapidly, and is today involved in many diverse application areas. This book covers the latest advances in the theories, algorithms, and applications of simulated evolution and learning techniques. It provides insights into different evolutionary computation techniques and their applications in domains such as scheduling, control and power, robotics, signal processing, and bioinformatics. The book will be of significant value to all postgraduate

Contents:

CONTENTS ; Preface ; PART 1: Evolutionary Theory ; Chapter 1: Co-Evolutionary Learning in Strategic Environments ; Chapter 2: Using Evolution to Learn User Preferences ; Chapter 3: A Parallel Genetic Algorithm for Clustering

Chapter 4: Using SIMD Genetic Programming for Fault-Tolerant Trading Strategies Chapter 5: An Efficient Coevolutionary Algorithm Based on Merging and Splitting of Species ; Chapter 6: Schema Analysis of Genetic Algorithms on Multiplicative Landscape

Chapter 7: Evolutionary Learning Strategies for Artificial Life Characters Chapter 8: Adaptive Strategy for GA Inspired by Biological Evolution ; Chapter 9: The Influence of Stochastic Quality Functions on Evolutionary Search

Chapter 10: Theoretical Analysis of the GA Performance with a Multiplicative Royal Road Function Chapter 11: A Real-Coded Cellular Genetic Algorithm Inspired by Predator-Prey Interactions

Chapter 12: Observed Dynamics of Large Scale Parallel Evolutionary Algorithms with Implications for Protein Engineering Chapter 13: Using Edge Histogram Models to Solve Flow Shop Scheduling Problems with Probabilistic Model-Building Genetic Algorithms

Chapter 14: Collective Movements of Mobile Robots with Behavior Models of a Fish

Notes:

"This volume contains substantially extended and revised papers selected from the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'2002), 18-22 November 2002, Singapore."--Pref.

Includes bibliographical references.

ISBN:

9786611872076

9781281872074

1281872075

9789812561794

981256179X

OCLC:

879023477