IEEE Press Book Series
The IEEE Computational Intelligence Society sponsors a book series on computational intelligence that is published by IEEE Press/Wiley, which is edited by David B. Fogel, and Jialin Liu serves as the society's liaison to IEEE Press. The book series seeks to publish high-quality monographs, texts, and edited volumes on topics within the scope of the society. New publications are always solicited. If you would like more information on existing books in the series or would like to contribute to the series, please contact David B. Fogel.
Computational Intelligence Book Series Titles
Simulation and Computational Red Teaming for Problem Solving
Jiangjun Tang, George Leu, and Hussein A. Abbass
Description
An authoritative guide to computer simulation grounded in a multi-disciplinary approach for solving complex problems
Simulation and Computational Red Teaming for Problem Solving offers a review of computer simulation that is grounded in a multi-disciplinary approach. The authors present the theoretical foundations of simulation and modeling paradigms from the perspective of an analyst. The book provides the fundamental background information needed for designing and developing consistent and useful simulations. In addition to this basic information, the authors explore several advanced topics. The book’s advanced topics demonstrate how modern artificial intelligence and computational intelligence concepts and techniques can be combined with various simulation paradigms for solving complex and critical problems. Authors examine the concept of Computational Red Teaming to reveal how the combined fundamentals and advanced techniques Read more...
Fundamentals of Computational Intelligence: Neural Networks, Fuzzy Systems, and Evolutionary Computation
James M. Keller, Derong Liu, and David B. Fogel
Introduction To Type-2 Fuzzy Logic Control: Theory and Applications
Jerry Mendel, Hani Hagras, Woei-Wan Tan, William W. Melek and Hao Ying
Unsupervised Learning: A Dynamic Approach
Matthew Kyan, Paisarn Muneesawang, Kambiz Jarrah and Ling Guan
Reinforcement Learning and Approximate Dynamic Programming for Feedback Control
Frank L. Lewis and Derong Liu (Editors)
Evolving Intelligent Systems: Methodology and Applications
Plamen Angelov, Dimitar P. Filev, Nik Kasabov (Eds.)
Perceptual Computing: Aiding People in Making Subjective Judgments
Jerry Mendel, Dongrui Wu
Biometrics: Theory, Methods, and Applications
N. V. Boulgouris, Konstantinos N. Plataniotis, Evangelia Micheli-Tzanakou (Eds.)
Computational Intelligence and Feature Selection: Rough and Fuzzy Approaches
Richard Jensen and Qiang Shen
Clustering
Rui Xu and Don Wunsch
Computational Intelligence in Bioinformatics
Gary B. Fogel, David W. Corne, and Yi Pan (Eds.)
Introduction to Evolvable Hardware: A Practical Guide for Designing Self-Adaptive Systems
Garrison W. Greenwood and Andrew Tyrell
Emergent Information Technologies and Enabling Policies for Counter-Terrorism
Robert L. Popp and John Yen (Eds.)
Evolutionary Computation: Toward a New Philosophy of Machine Intelligence, 3rd Edition
David B. Fogel
Handbook of Learning and Approximate Dynamic Programming
Jennie Si, Andrew G. Barto, Warren B. Powell, and Don Wunsch (Eds.)
Computationally Intelligent Hybrid Systems: The Fusion of Soft Computing and Hard Computing
Seppo J. Ovaska (Ed.)
Cultural Algorithms: Tools to Model Complex Dynamic Social Systems
Robert G. Reynolds