This review paper attempts to position the area of Artificial Immune Systems (AIS) in a
broader context of interdisciplinary research. We review AIS based on an established …

Artificial immune systems (AIS) constitute a relatively new area of bio-inspired computing.
Biological models of the natural immune system, in particular the theories of clonal selection …

After a decade of research into the area of artificial immune systems, it is worthwhile to take
a step back and reflect on the contributions that the paradigm has brought to the application …

In this position paper, we argue that the field of artificial immune systems (AIS) has reached
an impasse. For many years, immune inspired algorithms, whilst having some degree of …

A new sub-pixel mapping strategy inspired by the clonal selection theory in artificial immune
systems (AIS), namely, the clonal selection sub-pixel mapping (CSSM) framework, is …

Artificial immune systems can be applied to a variety of very different tasks including function
optimization. There are even artificial immune systems tailored specifically for this task. In …

Abstract Artificial Immune Systems (AISs) are computational methods inspired by the
biological immune system and thus classified as a nature-inspired meta-heuristic along with …

Immune Algorithms have been used widely and successfully in many computational
intelligence areas including optimization. Given the large number of variants of each …

There are many evolutionary algorithms for numerical optimization problems. However, the
universality and robustness of existing algorithms are still unsatisfactory, and the …

Artificial Immune Systems (AIS) are an emerging new field of research in Computational
Intelligence that are used in many areas of application, eg optimization, anomaly detection …