Recent advances in artificial immune systems: models and applications
The immune system is a remarkable information processing and self learning system that
offers inspiration to build artificial immune system (AIS). The field of AIS has obtained a …
offers inspiration to build artificial immune system (AIS). The field of AIS has obtained a …
A review on computational intelligence techniques in cloud and edge computing
Cloud computing (CC) is a centralized computing paradigm that accumulates resources
centrally and provides these resources to users through Internet. Although CC holds a large …
centrally and provides these resources to users through Internet. Although CC holds a large …
A survey on optimization metaheuristics
Metaheuristics are widely recognized as efficient approaches for many hard optimization
problems. This paper provides a survey of some of the main metaheuristics. It outlines the …
problems. This paper provides a survey of some of the main metaheuristics. It outlines the …
Optimal location and sizing of DSTATCOM in distribution systems by immune algorithm
In this paper, optimal location and sizing of DSTATCOM for the sake of power loss reduction,
and improvement of current and voltage profile in distribution networks are investigated. An …
and improvement of current and voltage profile in distribution networks are investigated. An …
Automatic clustering using nature-inspired metaheuristics: A survey
In cluster analysis, a fundamental problem is to determine the best estimate of the number of
clusters; this is known as the automatic clustering problem. Because of lack of prior domain …
clusters; this is known as the automatic clustering problem. Because of lack of prior domain …
DeepDCA: novel network-based detection of IoT attacks using artificial immune system
Recently Internet of Things (IoT) attains tremendous popularity, although this promising
technology leads to a variety of security obstacles. The conventional solutions do not suit the …
technology leads to a variety of security obstacles. The conventional solutions do not suit the …
An adaptive artificial immune network for supervised classification of multi-/hyperspectral remote sensing imagery
The artificial immune network (AIN), a computational intelligence model based on artificial
immune systems inspired by the vertebrate immune system, has been widely utilized for …
immune systems inspired by the vertebrate immune system, has been widely utilized for …
Decision tree and artificial immune systems for stroke prediction in imbalanced data
Although cerebral stroke is a important public worldwide health problem with more than 43
million global cases reported recently, more than 90% of metabolic risk factors are …
million global cases reported recently, more than 90% of metabolic risk factors are …
Industrial agents: emerging applications of software agents in industry
P Leitão, S Karnouskos - 2015 - books.google.com
Industrial Agents explains how multi-agent systems improve collaborative networks to offer
dynamic service changes, customization, improved quality and reliability, and flexible …
dynamic service changes, customization, improved quality and reliability, and flexible …
A survey of artificial immune algorithms for multi-objective optimization
Multi-objective immune algorithm (MOIA) is a heuristic algorithm based on artificial immune
system model. Due to its characteristics of antibody clonal selection, automatic antigen …
system model. Due to its characteristics of antibody clonal selection, automatic antigen …