The partitional clustering concept started with K-means algorithm which was published in
1957. Since then many classical partitional clustering algorithms have been reported based …

The immune system is a remarkable information processing and self learning system that
offers inspiration to build artificial immune system (AIS). The field of AIS has obtained a …

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 …

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 …

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 The Dendritic Cell Algorithm is an immune-inspired algorithm originally based on
the function of natural dendritic cells. The original instantiation of the algorithm is a highly …

The dynamic distributed topology of a Mobile Ad Hoc Network (MANET) provides many
challenges including decentralized infrastructure wherein each node acts as both the host …

Dendritic cells are antigen presenting cells that provide a vital link between the innate and
adaptive immune system, providing the initial detection of pathogenic invaders. Research …

Conventional feature selection algorithms select a global feature subset for the entire
sample space. In contrast, in this paper we propose an efficient filter local feature selection …

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 …