Artificial immune systems

Part 1 of ebook "Complex systems and self-organization modelling" provides readers with contents including: Part I - Complex system modelling and methodology; Part II - Swarm intelligence and neuronal learning;...

97p dongmelo 20-05-2024 3 2   Download

Part 1 of ebook "Search methodologies: Introductory tutorials in optimization and decision support techniques" provides readers with contents including: classical techniques; integer programming; genetic algorithms; scatter search; genetic programming; artificial immune systems; swarm intelligence; tabu search; simulated annealing; GRASP: greedy randomized adaptive search procedures; variable neighborhood search;...

344p thamnhuocgiai 24-09-2023 6 4   Download

Intrusion Detection (ID) is one of the active branches in network security research field. Many technologies, such as neural networks, fuzzy logic and genetic algorithms have been applied in intrusion detection and the results are varied. In this thesis, an Artificial Immune System (AIS) based intrusion detection is explored. AIS is a bio-inspired computing paradigm that has been applied in many different areas including intrusion detection.

74p runthenight07 01-03-2023 5 2   Download

Two major areas of the scorecard development process were identified as having much capacity for improving credit scoring models. These are the application of 1) better classifiers and 2) variable selection techniques. However, the application of an artificial immune system for developing scorecards as well as the use of other variable selection techniques, other than stepwise regression, in credit scoring are quite limited as indicated by the scarcity of published materials in these two areas in the current literature.

210p runthenight04 02-02-2023 3 1   Download

Endocrine Disruptors (ED) are substances that impede the normal performance of the endocrine system. It leads to several adverse effects on health such as abnormalities of the reproductive, skeletal, immune, metabolic, neurological, cardiovascular system as well as several types of carcinomas. These could be either naturally occurring organic substances such as phytoestrogens or artificially synthesised chemicals employed in the manufacture of plastics, plasticizers, pesticides, synthetic hormones, pharma compounds etc.

13p chauchaungayxua12 29-07-2021 12 1   Download

In 2009, a novel influenza vaccine was distributed worldwide to combat the H1N1 influenza “swine flu” pandemic. However, antibodies induced by the vaccine display differences in their specificity and cross-reactivity dependent on pre-existing immunity.

13p vicolorado2711 22-10-2020 7 0   Download

One of the software engineering interests is quality assurance activities such as testing, verification and validation, fault tolerance and fault prediction. When any company does not have sufficient budget and time for testing the entire application, a project manager can use some fault prediction algorithms to identify the parts of the system that are more defect prone.

17p vititan2711 13-08-2019 20 1   Download

In this paper, we proposed a hybrid algorithm, named topt-aiNet, to solve the construction site layout problem by combining the aiNet algorithm with Tabu search. Experimental results showed that the proposed algorithm outperformed the stateof-the-art ones.

7p vimariecurie2711 30-07-2019 19 1   Download

In this paper, we propose a novel approach to combining NSAs and PSAs that employ binary representation and r-chunk matching rule. The new algorithm achieves smaller detector storage complexity and potentially better detection time in comparison with single NSAs or PSAs.

10p vixyliton2711 17-04-2019 12 0   Download

This paper describes an artificial immune system approach (AIS) to modelling time-dependent (dynamic, real time) transportation phenomenon characterized by uncertainty. The basic idea behind this research is to develop the Artificial Immune System, which generates a set of antibodies (decisions, control actions) that altogether can successfully cover a wide range of potential situations. The proposed artificial immune system develops antibodies (the best control strategies) for different antigens (different traffic "scenarios").

28p vinguyentuongdanh 20-12-2018 26 0   Download

In Artificial Immune Systems (AIS), negative selection algorithms are used widely. This paper presents the author's research in improving the negative selection algorithm to increase the performance of AIS applications for detecting computer virus. Our algorithm’s time complexity is equal to and its space complexity is less than those mentioned in [7].

6p cumeo2005 02-07-2018 37 2   Download

We present a novel data structure for extracting data from protected self set. That helps to produce all possible detectors, or a complete detector repertoire, with lower time and space complexities compare to recent novel approaches. Theoretical analysis and experimental results show that our approach is effective and feasible. These new valuable characteristics can make complex AIS have the highest ability to detect data changes and to reduce false detection.

5p cumeo2004 02-07-2018 25 0   Download

It contains two stages: generate a set D of detectors that do not match any element of a given self-set S, then using these detectors to detect if a given cell is self or nonself. The performance of NSA often bases on the efficiency of generation and detection. Here, we present an r-chunk detector-based NSA that reduces the overall runtime complexity significantly.

4p cumeo2004 02-07-2018 31 1   Download

Artificial immune system (AIS) is a diverse research area that combines the disciplines of immunology and computation. Negative selection algorithm (NSA) is one of the computational models of self/nonself discrimination can be designed for anomaly detection in AIS. It contains two stages: generate a set D of detectors that do not match any element of a given self-set S.

5p cumeo2425 02-07-2018 12 1   Download

In this paper, we propose an improvement of r-chunk type detector-based NSA by combining negative selection and positive selection to reduce runtime complexity and memory complexity.

8p vision1234 30-06-2018 25 0   Download

In this paper, Negative Selection Algorithms (NSA), a computational imitation of negative selection, ismodeledfor spam filtering. The experimental results on popular TREC’07 spam corpus show that our approach is an effective solution to the problem on both time complexities and classification performance.

5p doctorstrange1 15-06-2018 29 1   Download

This book is a collection of current research in the application of evolutionary algorithms and other optimal algorithms to solving the TSP problem. It brings together researchers with applications in Artificial Immune Systems, Genetic Algorithms, Neural Networks and Differential Evolution Algorithm. Hybrid systems, like Fuzzy Maps, Chaotic Maps and Parallelized TSP are also presented.

0p cucdai_1 22-10-2012 94 6   Download