The immune system is highly distributed, highly adaptive, self-organising in nature,
maintains a memory of past encounters and has the ability to continually learn about new …

Important Note: The field of Artificial Immune Systems (AIS) is becoming more popular and
AIS-based works spanning from theoretical modeling and simulation to wide variety of …

In the last few years we could perceive a great increase in interest in studying biologically
inspired systems. Among these, we can emphasize artificial neural networks, evolutionary …

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 …

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 …

The field of artificial immune systems (AIS) comprises two threads of research: the
employment of mathematical and computational techniques in the modeling of immunology …

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 …

The field of biologically inspired computing has generated many novel, interesting and
useful computational systems. None of these systems alone is capable of approaching the …

We propose that bio-inspired algorithms are best developed and analysed in the context of a
multidisciplinary conceptual framework that provides for sophisticated biological models and …

Artificial Immune Systems (AIS) are computational paradigms that belong to the
computational intelligence family and are inspired by the biological immune system. During …