Artificial Immune Systems (AIS) are algorithms inspired by the human immune system. The human immune system is a robust, decentralized, error tolerant and adaptive system. Such properties are highly desirable for the development of novel computer systems. Unlike some other bio-inspired techniques, such as genetic algorithms and neural networks, the field of AIS encompasses a spectrum of algorit...

this paper addresses a production and outbound distribution scheduling problem in which a set of jobs have to be process on a single machine for delivery to customers or to other machines for further processing. we assume that there is a sufficient number of vehicles and the delivery costs is independent of batch size but it is dependent on each trip. in this paper, we present an artificial imm...

in the software development process, testing is one of the most human intensive steps. many researchers try to automate test case generation to reduce the manual labor of this step. negative selection is a famous algorithm in the field of artificial immune system (ais) and many different applications has been developed using its idea. in this paper we have designed a new algorithm based on nega...

Artificial Immune Systems have been used successfully to build recommender systems for film databases. In this research, an attempt is made to extend this idea to web site recommendation. A collection of more than 1000 individuals’ web profiles (alternatively called preferences / favourites / bookmarks file) will be used. URLs will be classified using the DMOZ (Directory Mozilla) database of th...

Soft Computing has been described as computational systems that exploit tolerance for imprecision, uncertainty, partial truth and approximation [8]. Such systems include artificial neural networks, fuzzy systems, evolutionary algorithms and probabilistic reasoning. Artificial Immune Systems (AIS) have recently been proposed as an additional soft computing paradigm [5]. It has been argued that A...

Previous work suggests that innate immunity and representations of tissue can be useful when combined with artificial immune systems. Here we provide a new implementation of tissue for artificial immune systems using systemic computation, a new model of computation and corresponding computer architecture based on a systemics world-view and supplemented by the incorporation of natural characteri...

In the last few years, researchers have shown great interest in studying biologically inspired systems in the domain of computer science, sociology, economics and so on. Among these, computer science has made significant advances with biologically inspired theories fitted in every branch. The typical bio-inspired systems are artificial neural networks, evolutionary computation, DNA computation,...

This work presents the Web Classifying Immune System (WCIS) which is a prototype system to detect zero-day attacks against web servers by examining web server requests. WCIS is intended to work in conjunction with more traditional intrusion detection systems to detect new and emerging threats that are not detected by the traditional IDS database. WCIS is at its core an artificial immune system,...