Natural computing is a terminology introduced to encompass three classes of methods:(1)
those that take inspiration from nature for the development of novel problem-solving …

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 …

During the last decade, the field of artificial immune system (A1S) is progressing slowly and
steadily as a branch of computational intelligence (CI). There has been increasing interest in …

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 …

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 …

Artificial immune systems are a collection of algorithms inspired by the human immune
system. Over the past 15 years, extensive research has been performed regarding the …

We present an immune algorithm (IA) inspired by the clonal selection principle, which has
been designed for the protein structure prediction problem (PSP). The proposed IA employs …

Nature is phenomenal. The achievements in, for example, evolution are everywhere to be
seen: complexity, resilience, inventive solutions and beauty. Evolvable Hardware (EH) is a …

The human immune system has numerous properties that make it ripe for exploitation in the
computational domain, such as robustness and fault tolerance, and many different …

Intrusion detection systems play a significant role in computer security. Artificial immune
systems are the prime contender in developing an anomaly-based intrusion detection …