Computational Intelligence: An Introduction, Second Edition offers an in-depth exploration
into the adaptive mechanisms that enable intelligent behaviour in complex and changing …

In this paper, we propose an algorithm based on the clonal selection principle to solve
multiobjective optimization problems (either constrained or unconstrained). The proposed …

A comprehensive introduction to new approaches in artificial intelligence and robotics that
are inspired by self-organizing biological processes and structures. New approaches to …

Clearly, nature has been very effective in creating organisms that are capable of protecting
themselves against a wide variety of pathogens such as bacteria, fungi, and parasites. The …

This paper investigates the role of negative selection in an artificial immune system (AIS) for
network intrusion detection. The work focuses on the use of negative selection as a network …

Abstract The field of Artificial Immune Systems (AIS) concerns the study and development of
computationally interesting abstractions of the immune system. This survey tracks the …

This paper proposes an algorithm based on a model of the immune system to handle
constraints of all types (linear, nonlinear, equality, and inequality) in a genetic algorithm …

Computer Immunology Page 1 Computer Immunology by Lyanne Wai-Yin Lau Supervised by
Daniel Bradley A thesis submitted to The Department of Information Technology and Electrical …

While dealing with sensitive personnel data, the data have to be maintained to preserve
integrity and usefulness. The mechanisms of the natural immune system are very promising …

The main goal of this research is to examine and to improve the anomaly detection function
of artificial immune systems, specifically the negative selection algorithm and other self/non …