Intrusion detection based upon computational intelligence is currently attracting
considerable interest from the research community. Characteristics of computational …

Recently, clonal selection theory in the immune system has received the attention of
researchers and given them inspiration to create algorithms that evolve candidate solutions …

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 …

The demand for ubiquitous information processing over the Web has called for the
development of context-aware recommender systems capable of dealing with the problems …

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 …

Abstract As the Internet of Things (IoT) recently attains tremendous popularity, this promising
technology leads to a variety of security challenges. The traditional solutions do not fit the …

The dendritic cell algorithm (DCA) is a classification algorithm based on the functioning of
natural immune dendritic cells. Recently, the DCA has caught the attention of researchers …

We describe a novel hyper-heuristic system that continuously learns over time to solve a
combinatorial optimisation problem. The system continuously generates new heuristics and …

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 …

The design, development, and optimization of modern combine harvesters require a
thorough understanding and a suitable representation (model) of each machine system as …