Artificial Immune Systems
نویسنده
چکیده
The study of Artificial Immune Systems (AIS) includes the development of computational abstractions of the natural immune system. The most intuitive application of these methods is the virus and in general the intrusion detection of a single system or network. But with the growing amount of data, global interconnectivity and communication also other fields of application for Artificial Immune Systems came up.
منابع مشابه
Semantic Preserving Data Reduction using Artificial Immune Systems
Artificial Immune Systems (AIS) can be defined as soft computing systems inspired by immune system of vertebrates. Immune system is an adaptive pattern recognition system. AIS have been used in pattern recognition, machine learning, optimization and clustering. Feature reduction refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encoun...
متن کاملArtificial Immune System for Single Machine Scheduling and Batching Problem in Supply Chain
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...
متن کاملSTLR: a novel danger theory based structural TLR algorithm
Artificial Immune Systems (AIS) have long been used in the field of computer security and especially in Intrusion Detection systems. Intrusion detection based on AISs falls into two main categories. The first generation of AIS is inspired from adaptive immune reactions but, the second one which is called danger theory focuses on both adaptive and innate reactions to build a more biologically-re...
متن کاملSimulated annealing and artificial immune system algorithms for cell formation with part family clustering
Cell formation problem (CFP) is one of the main problems in cellular manufacturing systems. Minimizing exceptional elements and voids is one of the common objectives in the CFP. The purpose of the present study is to propose a new model for cellular manufacturing systems to group parts and machines in dedicated cells using a part-machine incidence matrix to minimize the voids. After identifying...
متن کاملArtificial Immune System Model Based On OWL Ontology
Artificial immune systems represent key functions and properties of the biological immune system for solving problems in computational science. Specific approaches exist for modelling biological and artificial immune systems. This paper is focused on the usage of the OWL language in the artificial immune system modelling with the aid of the Protégé-OWL plugin.
متن کامل