AIRS, a resource limited artificial immune classifier system, has performed well on various classification tasks, including data clustering. This thesis proposes the use of this system for the complex task of multi-class document classification. Initially the AIRS system is validated using a standard machine learning dataset, which has not been used previously with this classifier. The use of A...

The Artificial Immune Intelligent Maintenance System (AI2MS) is an architecture proposal for a Distributed Intelligent Maintenance System (IMS) using Artificial Immune Systems concepts. Equipment has its own embedded AIS, performing a local diagnosis. This proposal is modeled and implemented using multiagent systems, where every autonomous IMS is mapped to a set of local agents, while the commu...

University timetabling problem is a very common and seemingly simple, but yet very difficult problem to solve in practice. While solution definitely exists (evidenced by the fact that we do hold classes), an automated optimal schedule is very difficult to derive at present. There were successful attempts to address this problem using heuristics search methods. However, until now, university tim...

Associative classification algorithms which are based on association rules have performed well compared with other classification approaches. However a fundamental limitation with these classification algorithms is that the search space of candidate rules is very large and the processes of rule discovery and rule selection are conducted separately. This paper proposes an approach called ARMBIS,...

Recent years have seen a dramatic increase in the application of biologically-inspired algorithms to business problems. Applications of neural networks and evolutionary algorithms have become common. However, as yet there have been few applications of artificial immune systems (AIS), algorithms that are inspired by the workings of the natural immune system. The natural immune system can be cons...

Artificial Immune Systems (AIS) combine a priori knowledge with the adapting capabilities of biological immune systems to provide a powerful alternative to currently available techniques for pattern recognition, modeling, design, and control. Immunology is the science of built-in defense mechanisms that are present in all living beings to protect against external attacks. A biological immune sy...