Titlebook: Artificial Immune Systems; 11th International C Carlos A. Coello Coello,Julie Greensmith,Mario Pav Conference proceedings 2012 Springer-Ver

虚弱的神经

AC-CS: An Immune-Inspired Associative Classification Algorithming is a promising approach that uses association rules discovery techniques to construct association classifiers. However, traditional AC algorithms typically search for all possible association rules to find a representative subset of those rules. Since the search space of such rules may grow expo

CAPE

RC-DCA: A New Feature Selection and Signal Categorization Technique for the Dendritic Cell Algorithmected features and their categorization to their specific signal types, during pre-processing. For feature selection, DCA applies the Principal Component Analysis (PCA). Nevertheless, PCA does not guarantee that the selected first principal components will be the most adequate for classification. Fu

客观

Artificial Immune Network Approach with Beta Differential Operator Applied to Optimization of Heat Eities. A meta-heuristic approach called opt-aiNET (artificial immune network for optimization) algorithm, a well-known immune inspired algorithm for function optimization, is adopted in this paper. The opt-aiNET algorithm evolves a population, which consists of a network of antibodies (considered as

SPECT

A Negative Selection Approach to Intrusion Detectionts, detectors and presenters. Presenters present information to detectors; detectors are selected to engage in a maximally frustrated dynamics when presenters present data from a reference state. We show that if presenters present information that has never been available during the selection stage,

抱狗不敢前

Clonal Expansion  without Self-replicating Entities microflora, and to mount specific responses to invading pathogens. These intricate functions are performed almost flawlessly by a self-organised collective of cells. The robust mechanisms of distributed control in the immune system could potentially be deployed to design multiagent systems. However

晚来的提名

Stress-Fracture

CSA/IE: Novel Clonal Selection Algorithm with Information Exchange for High Dimensional Global Optimwith information exchange (CSA/IE) is proposed. The main characteristics of CSA/IE are clonal expansion and a novel hypermutation strategy. In addition, a simplex crossover operator is introduced to improve the ability of information exchange. Particularly, a novel performance evaluation criterion i

音乐戏剧

现晕光

Rethinking Concepts of the Dendritic Cell Algorithm for Multiple Data Stream Analysiso be of use in real world applications as they stand. To address this, these concepts are more explicitly defined within a specific application area, namely that of data stream analysis. These new definitions are based around the outputs of the Change Point Detecting Subspace Tracker (CD-ST), a rece

仔细检查

A Multi-Objective Artificial Immune System Based on Hypervolumecalled multi-objective artificial immune system based on hypervolume (MOAIS-HV) are compared with respect to those of the NSGA-II. Our preliminary results indicate that our proposed approach is very competitive, and can be a viable choice for solving multi-objective optimization problems.