Artificial Immune System (AIS) algorithm is a novel and vibrant computational paradigm, enthused by the biological immune system. Over the last few years, the artificial immune system has been sprouting to solve numerous computational and combinatorial optimization problems. In this paper, we introduce the restricted MAX-kSAT as a constraint optimization problem that can be solved by a robust c...

Many of the existing network theory based artificial immune systems have been applied to data clustering. The formation of artificial lymphocyte (ALC) networks represents potential clusters in the data. Although these models do not require any user specified parameter of the number of required clusters to cluster the data, these models do have a drawback in the techniques used to determine the ...

Hidden Markov Models are widely used in speech recognition and bioinformatics systems. Conventional methods are usually used in the parameter estimation process of Hidden Markov Models (HMM). These methods are based on iterative procedure, like BaumWelch method, or gradient based methods. However, these methods can yield to local optimum parameter values. In this work, we use artificial techniq...

This paper presents the application of Artificial Immune Systems to the design of classifier ensembles. Ensembles of classifiers are a very interesting alternative to single classifiers when facing difficult problems. In general, ensembles are able to achieve better performance in terms of learning and generalisation errors. Several papers have shown that the processes of classifier design and ...

The immune system protects the body against a wide range of infectious diseases and cancer by leveraging the efficiency of immune cells and lymphoid organs. Over the past decade, immune cell/organ therapies based on the manipulation, infusion, and implantation of autologous or allogeneic immune cells/organs into patients have been widely tested and have made great progress in clinical applicati...

Fugue is the result of a collaboration between artist, musician and computer scientists. The result is an on-going project which provides a new way of communicating complex scientific ideas to any audience. Immersive virtual reality and sound provide an interactive audiovisual interface to the dynamics of a complex system – for this work, an artificial immune system. Participants are able to se...

Copyright © 2002, Idea Group Publishing. The immune system is highly distributed, highly adaptive, self-organising in nature, maintains a memory of past encounters, and has the ability to continually learn about new encounters. From a computational viewpoint, the immune system has much to offer by way of inspiration. Recently there has been growing interest in the use of the natural immune syst...

This paper presents a new method for constructing ensembles of classifiers based on immune network theory, one of the most interesting paradigms within the field of artificial immune systems. Ensembles of classifiers are a very interesting alternative to single classifiers when facing difficult problems. In general, ensembles are able to achieve better performance in terms of learning and gener...

Topology control protocols try to decrease average of node’s transition radius without decreasing network connectivity. In this paper, we propose a new Artificial Immune System-based topology control protocol for wireless sensor networks named AISTC. In this protocol, proper transition radius can be determined using Artificial Immune System algorithm. This protocol is simulated and compared its...

Two metaheuristic algorithms namely Artificial Immune Systems (AIS) and Genetic Algorithms are classified as computational systems inspired by theoretical immunology and genetics mechanisms. In this work we examine the comparative performances of two algorithms. A special selection algorithm, Clonal Selection Algorithm (CLONALG), which is a subset of Artificial Immune Systems, and Genetic Algor...