Handbook of Research on Artificial Immune Systems and Natural Computing, 1st Edition

  • Published By:
  • ISBN-10: 1605663115
  • ISBN-13: 9781605663111
  • Grade Level Range: College Freshman - College Senior
  • 605 Pages | eBook
  • Original Copyright 2008 | Published/Released April 2009
  • This publication's content originally published in print form: 2008

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About

Overview

Provides the latest empirical research findings, theoretical frameworks, and technologies of natural computing and artificial immune systems (AIS). Proposes new ideas, methods, and theories to solve problems of engineering and science.

Table of Contents

Cover Page.
Title Page.
Copyright Page.
Editorial Advisory Board.
List of Contributors.
Table of Contents.
Detailed Table of Contents.
Foreword.
Preface.
1: Artificial Immune Systems.
2: Immune Optimization Algorithms.
3: Multiobjective Optimization and Artificial Immune Systems: A Review.
4: Artificial Immune Systems as a Bio-Inspired Optimization Technique and Its Engineering Applications.
5: An Artificial Immune Dynamical System for Optimization.
6: Artificial Immune Systems and Agents.
7: An Immune Inspired Algorithm for Learning Strategies in a Pursuit-Evasion Game.
8: Applications of Artificial Immune Systems in Agents.
9: Artificial Immune System and Scheduling.
10: An Immune Algorithm Based Robust Scheduling Methods.
11: Artificial Immune System in the Management of Complex Small Scale Cogeneration Systems.
12: Artificial Immune System and Data Processing.
13: Applying the Immunological Network Concept to Clustering Document Collections.
14: Feature Selection Based on Clonal Selection Algorithm: Evaluation and Application.
15: Some New Types of Artificial Immune Networks.
16: Immune Based Bio–Network Architecture and its Simulation Platform for Future Internet.
17: A Static Web Immune System and Its Robustness Analysis.
18: The Other Applications of Artificial Immune Systems.
19: Immunocomputing for Spatio–Temporal Forecast.
20: Research of Immune Controllers.
21: Immune Programming Applications in Image Segmentation.
22: A Hardware Immune System for MC8051 IP Core.
23: Natural Computing.
24: Evolutionary Computing.
25: On Foundations of Evolutionary Computation: An Evolutionary Automata Approach.
26: Evolutionary Path Planning for Robot Navigation Under Varying Terrain Conditions.
27: Ant Colony.
28: Ant Colony Optimization for Use in Content Based Image Retrieval.
29: Ant Colonies and Data Mining.
30: Artificial Life, Optimizing Society, and Ethology.
31: Artificial Life Optimization Algorithm and Applications.
32: Optimizing Society: The Social Impact Theory Based Optimizer.
33: Ethology–Based Approximate Adaptive Learning: A Near Set Approach.
34: Parallel Computing and Neural Networks.
35: Nature Inspired Parallel Computing.
36: Fuzzy Chaotic Neural Networks.
Compilation of References.
About the Contributors.
Index.