The clonal selection is a mechanism used by the natural immune system to select cells that recognize the antigens to proliferate. The proliferated cells are subject to an affinity maturation process, which improves their affinity to the selective antigens. The concept of clonal selection is a vitally important one to the success of the human immune system, and it provides an excellent example o...

The network theory of immunology proposes that antigen receptors themselves provide units for selection by antireceptor receptors. This work discusses the implication of receptor-receptor recognition in the context of a previously developed elaborated clonal selection algorithm (ECSA). The result is a pattern recognition-based system capable of cognitive tasks that surpass the simple ECSA, and ...

Concept hierarchy is an integral part of ontology which is the backbone of the Semantic Web. This paper describes a new hierarchical clustering algorithm for learning concept hierarchy named Clonal Selection Algorithm for Learning Concept Hierarchy, or CLONACH. The proposed algorithm resembles the CLONALG. CLONACH’s effectiveness is evaluated on three data sets. The results show that the concep...

Edges produced by existing edge detection algorithms often contain discontinuities. Edge linking as a post-processing step is very important for computer vision and pattern recognition. Nevertheless, subject to the lacking of information in the image, difficulties arise when it is tackled. The clonal selection algorithm (CSA), inspired by the basic features of adaptive immune response to antige...

One of the key factors of virtual enterprise’s success is that the dominant enterprise can make the correct decision in the selection of a cooperative partner. Thus partner selection is the essential and the most important issue, which is usually a combinatorial optimization problem as a matter of fact. This paper proposes a partner selection based on artificial immune algorithm (AIS).First, an...

It is imperative to provide service consumers with facilities for selecting required web services according to their Quality of Service (QoS). Several heuristics, which are local adaptation preemptive strategy, elitist perturbation guiding strategy and global tournament strategy for directed local fine-tuning, and a hybrid clonal selection algorithm (CSPLPT) are proposed for QoS-aware web servi...

The optimization problem dealing with the development of the forecasting models on the base of strictly binary trees has been considered. The aim of paper is the comparative analysis of two optimization variants which are applied for the development of the forecasting models. Herewith the first optimization variant assumes the application of one quality indicator of the forecasting model named ...

Classification is an important technology in data mining, while clonal selection algorithm (CSA) is a very effective classification method. Although CSA brings a new effective tool for solving complex problems, we can not completely say that it over-performs to other algorithms especially in the classification field. A main problem of CSA classifier is that it does not carry attribute imbalance...

Temporal evolution of a clonal bacterial population is modelled taking into account reversible mutation and selection mechanisms. For the mutation model, an efficient algorithm is proposed to verify whether experimental data can be explained by this model. The selection-mutation model has unobservable fitness parameters and, to estimate them, we use an Approximate Bayesian Computation (ABC) alg...

This paper presents a hybrid optimisation method based on the fusion of the clonal selection algorithm (CSA) and harmony search (HS) technique. The CSA is employed to improve the harmony memory members in the HS method. The hybrid optimisation algorithm is further used to optimise Sugeno fuzzy classification systems for the Fisher Iris data and wine data classification. Computer simulations res...