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 …

Abstract The field of Artificial Immune Systems (AIS) concerns the study and development of
computationally interesting abstractions of the immune system. This survey tracks 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 …

This paper presents a comparative study of two important Clonal Selection Algorithms
(CSAs): CLONALG and opt-IA. To deeply understand the performance of both algorithms …

In this paper, an important class of hypermutation operators are discussed and quantitatively
compared with respect to their success rate and computational cost. We use a standard …

A new multiclass classifier based on immune system principles is proposed. The unique
feature of this classifier is the embedded property of local feature selection. This method of …

The increasing complexity of circuit design needs to be managed with appropriate
optimization algorithms and accurate statistical descriptions of design models in order to …

Various studies have shown that characteristic Artificial Immune System (AIS) operators
such as hypermutations and ageing can be very efficient at escaping local optima of …

The'clonal selection'approach to optimization-an abstraction of immune system adaptation,
popularized mainly by de Castro and Von Zuben-may have reached something of an …

We present a time complexity analysis of the Opt-IA artificial immune system (AIS). We first
highlight the power and limitations of its distinguishing operators (ie, hypermutations with …