Artificial immune systems : 6th international conference, ICARIS 2007, Santos, Brazil, August 26-29, 2007 : proceedings / Leandro Nunes de Castro, Fernando Jose Von Zuben, Helder Knidel (eds.).

Includes bibliographical references and index.

Print version record.

Front Matter; A Gradient-Based Artificial Immune System Applied to Optimal Power Flow Problems; Multimodal Dynamic Optimization: From Evolutionary Algorithms to Artificial Immune Systems; NAIS: A Calibrated Immune Inspired Algorithm to Solve Binary Constraint Satisfaction Problems; A Solution Concept for Artificial Immune Networks: A Coevolutionary Perspective; Artificial Immune Systems for Classification of Petroleum Well Drilling Operations; The SUPRAIC Algorithm: A Suppression Immune Based Mechanism to Find a Representative Training Set in Data Classification Tasks.

The Influence of Diversity in an Immune-Based Algorithm to Train MLP NetworksApplying Biclustering to Text Mining: An Immune-Inspired Approach; Defence Against 802.11 DoS Attacks Using Artificial Immune System; A Novel Immune Inspired Approach to Fault Detection; Towards a Novel Immune Inspired Approach to Temporal Anomaly Detection; Bankruptcy Prediction Using Artificial Immune Systems; Phase Transition and the Computational Complexity of Generating r -Contiguous Detectors; Real-Valued Negative Selection Algorithm with a Quasi-Monte Carlo Genetic Detector Generation.

A Novel Fast Negative Selection Algorithm Enhanced by State GraphsClonal Selection Algorithms for 6-DOF PID Control of Autonomous Underwater Vehicles; An Immuno Robotic System for Humanitarian Search and Rescue (Application Stream); The Application of a Dendritic Cell Algorithm to a Robotic Classifier; On Immune Inspired Homeostasis for Electronic Systems; Modeling Migration, Compartmentalization and Exit of Naive T Cells in Lymph Nodes Without Chemotaxis; Revisiting the Central and Peripheral Immune System; Topological Constraints in the Evolution of Idiotypic Networks.

A Computational Model for the Cognitive Immune System Theory Based on Learning Classifier SystemsMotif Detection Inspired by Immune Memory; An Immune-Inspired Approach to Speckled Computing; Biological Inspiration for Artificial Immune Systems; Regulatory T Cells: Inspiration for Artificial Immune Systems; Automated Blog Design System with a Population-Based Artificial Immune Algorithm; Immune and Evolutionary Approaches to Software Mutation Testing; An Artificial Immune System Based Approach for English Grammar Checking; A Novel Clonal Selection Algorithm Based Fragile Watermarking Method.

BeeAIS: Artificial Immune System Security for Nature Inspired, MANET Routing Protocol, BeeAdHocA Cultural Immune System for Economic Load Dispatch with Non-smooth Cost Functions; Artificial Immune System to Find a Set of k -Spanning Trees with Low Costs and Distinct Topologies; How to Obtain Appropriate Executive Decisions Using Artificial Immunologic Systems; An Artificial Immune System-Inspired Multiobjective Evolutionary Algorithm with Application to the Detection of Distributed Computer Network Intrusions; Back Matter.

This book constitutes the refereed proceedings of the 6th International Conference on Artificial Immune Systems, ICARIS 2007, held in Santos, Brazil, in August 2007. The 36 revised full papers presented were carefully reviewed and selected from 58 submissions. The papers are organized in topical sections on search and optimization, classification and clustering, anomaly detection and negative selection, robotics, control and electronics, modeling papers, conceptual papers, as well as technical papers and general applications.