González, Fabio Ph.D. The University of Memphis. May 2003. A Study of Artificial Immune Systems Applied to Anomaly Detection. Major Professor: Dipankar Dasgupta, Ph.D. The main goal of this research is to examine and to improve the anomaly detection function of artificial immune systems, specifically the negative selection algorithm and other self/non-self recognition techniques. This research ...

portfolio selection is considered a critically significant decision, firms have to make. as such, much research has been focused on the selection of a portfolio with a controlled level of risk and high expected return. this paper uses a new definition of risk for portfolio selection whereby risk taking is taken as a curve instead of a specific value. in this paper, a genetic algorithm is presen...

Ji, Zhou. Ph.D. The University of Memphis. August, 2006. Negative selection algorithms: from the thymus to V-detector. Major Professor: Dipankar Dasgupta, Ph.D. Artificial Immune Systems (AIS) is a research area of developing computational methods inspired by biological immune systems. The approach of negative selection algorithms (NSA) is one of the major models of AIS. This dissertation does ...

Negative Selection Algorithm is widely applied in Artificial Immune Systems, but it is not fast enough when there are mass data need to be processed. Multi-pattern matching algorithms are able to locate all occurrences of multi-patterns in an input string by just one scan operation. Inspired by the multi-pattern matching algorithm proposed by Aho and Corasick in 1975 [1], a novel fast negative ...

The Negative Selection Algorithm (NSA) is a kind of anomaly detection method inspired by the biological self/nonself discrimination principles. In this paper, we propose two new schemes for the detectors re-editing and censoring in the NSA. The detectors that fail to pass the negative selection phase are re-edited and updated to become qualified using the Differential Evolution (DE) method. In ...

The Negative Selection Algorithm is an immune inspired algorithm that can be used for different purposes such as fault detection, data integrity protection and virus detection. In this paper we show how the Negative Selection Algorithm can be adapted to tackle the similar image search problem: given a target image, images from a large database similar to the query have to be detected. Results o...