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 …

The successful handling of numerous real–world complex problems has increased the
popularity of nature–inspired intelligent (NII) algorithms and techniques. Their successful …

Damage detection in structures is one of the research topics that have received growing
interest in research communities. While a number of damage detection and localization …

In this paper, based on both the features of a biological immune system and the systematic
reasoning ability of the Taguchi method, an improved immune algorithm, named the Taguchi …

In this work we use a simplified model of the immune system to explore the problem solving
feature. We consider only two immunological entities, antigens and antibodies, two …

We present a new Immune Algorithm that incorporates a simple local search procedure to
improve the overall performances to tackle the graph coloring problem instances. We …

Immune Algorithms have been used widely and successfully in many computational
intelligence areas including optimization. Given the large number of variants of each …

We present a new Immune Algorithm, IMMALG, that incorporates a Stochastic Aging
operator and a simple local search procedure to improve the overall performances in …

The development of evolutionary algorithms for optimization has always been a stimulating
and growing research area with an increasing demand in using them to solve complex …

The chapter describes the theory of clonal selection and its usage in designing and
implementing immunological algorithms for problem solving and learning. In detail, it …