Showing 1-25 of 40 resultsfor "Index Terms":artificial immune algorithm (AIA)
"Index Terms":artificial immune algorithm (AIA)
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Application Research of Immune Neural Network on Motor Fault Diagnosis
2008 International Workshop on Education Technology and Training & 2008 International Workshop on Geoscience and Remote Sensing
Year: 2008 | Conference Paper |
Cited by: Papers (2)
Motor fault diagnosis methods are crucial in acquiring safe and reliable operation in motor drive systems. In this paper, we propose a hybrid algorithm for motor fault diagnosis based on the combination of artificial immune system (AIS) and artificial neural network (ANN). The artificial immune algorithm (AIA) for data clustering is employed to adaptively choose the amount and location of th...Show More
Optimization of grouping batch and sorting order for smelting charges in refined copper strip producing by AIA
2010 IEEE International Conference on Progress in Informatics and Computing
Year: 2010 | Conference Paper |
Grouping batch and sorting order (GBSO) for smelting charges is a key cycle in refined copper strip producing. To improve its scientific degree, optimization problem of GBSO for smelting charges in refined copper strip producing by artificial immune algorithm (AIA) is studied. The multi-objective optimization model for GBSO of smelting charges is established with the objectives which include...Show More
In recent years, with the rapid growth of the digital currency industry, blockchain technology has attracted wide attention, and its research mostly focuses on the protection of economic security and privacy. In order to study the application and development mechanism of currency products, this work investigates the practical application of digital currency products under blockchain technology at ...Show More
Ant Colony Optimization Algorithm Based on Immunity Vaccine and Dynamic Pheromone Updating
2010 IEEE International Conference on Data Mining Workshops
Year: 2010 | Conference Paper |
Cited by: Papers (2)
To solve the problem of complexity and uncertainty in logistics and distribution system, a kind of Ant Colony Optimization algorithm based on immunity vaccine and dynamic pheromone updating is put forward in this paper. In this new Algorithm, initial antibody is vaccinated first to produce better solutions, and initial parameters are then set depending on these better solutions by the Ant Colony. ...Show More
Motor Fault Diagnosis Based on Wavelet Energy and Immune Neural Network
2009 International Conference on Measuring Technology and Mechatronics Automation
Year: 2009 | Conference Paper |
Cited by: Papers (5)
Motor fault diagnosis methods are crucial in acquiring safe and reliable operation in motor drive systems. In this paper, a new method for the motor fault diagnosis is proposed based on wavelet packet transform (WPT) and artificial neural network (ANN). The energy of the vibration signals of motor can be obtained by the multi-decomposition of WPT and used as feature values of ANN inputs for fault ...Show More
Research on dynamic zoning of elevator traffic based on artificial immune algorithm
ICARCV 2004 8th Control, Automation, Robotics and Vision Conference, 2004.
Year: 2004 | Conference Paper |
Cited by: Papers (4)
As the abbreviation for artificial immune system, AIS is an artificial intelligence approach newly put forward, which has been widely applied to many fields such as data analysis, multimodal function optimization, computer security, error detection, etc. Based on AIS, a novel approach was proposed for elevator traffic dynamic zoning with contiguous floors during the peak traffic. In this paper, th...Show More
A Kind of Two-Dimensional Entropic Image Segmentation Method Based on Artificial Immune Algorithm
2006 6th World Congress on Intelligent Control and Automation
Year: 2006 | Conference Paper |
Two-dimensional entropic segmentation method has been greatly developed because of high segmentation accuracy and good stability, while a hard problem is that it gives rise to the exponential increment of computational time in comparison with the traditional one-dimensional histogram partition technology. To solve this problem, a new kind of image thresholding method is presented based on the comb...Show More
Hybrid Artificial Immune Algorithm and Particle Swarm Optimization for Solving Unconstrained Global Optimization Problems
2012 International Symposium on Computer, Consumer and Control
Year: 2012 | Conference Paper |
Cited by: Papers (2)
This work presents a meta-heuristic approach that integrates an artificial immune algorithm and a particle swarm optimization (AIA-PSO) method to solve unconstrained global optimization (UGO) problems. Using an external AIA, the parameter settings of an internal PSO algorithm are optimized. These include the constriction coefficient, cognitive parameter and social parameter. The intern...Show More
A Novel Artificial Immune Algorithm and Its Application to Micro-strip Antenna Array Design
2018 IEEE Asia-Pacific Conference on Antennas and Propagation (APCAP)
Year: 2018 | Conference Paper |
Cited by: Papers (1)
This paper presents a novel algorithm -artificial immune algorithm (AIA) which is inspired by the biological artificial immune system (AIS) for optimal problems. It is employed to a micro-strip antenna design for gain improvement and bandwidth extension. Characterized by Fitness-Concentration selection mechanism and Elite Reservation features, the proposed AIA is built up and tested in...Show More
An artificial immune optimization approach in tuning nonlinear PID controllers
2014 Second World Conference on Complex Systems (WCCS)
Year: 2014 | Conference Paper |
Cited by: Papers (1)
This paper is dedicated to present one of newly developed evolutionary algorithm; we considered a new way to tune the PID controller of nonlinear systems where the parameters of the controller are optimized using the Artificial Immune Algorithm (AIA) based on the immune system which defends the body against harmful diseases and infections. This work describes the application of AIA Tec...Show More
Research on Multi-peak Value AIA and Its Practical Example
2009 International Forum on Information Technology and Applications
Year: 2009 | Conference Paper |
This paper proposes a modified multi-peak value AIA based on nonlinear combination forecasting model. This algorithm has the ability of comprehensive search and the rapid convergence, and with the ability it solves quite well the contradictions between the ultimate convergence and the process dispersivity of the traditional algorithm, making the algorithm can converge on a number of peaks qu...Show More
Three-dimensional flight path planning by artificial immune algorithm
2010 Sixth International Conference on Natural Computation
Year: 2010 | Conference Paper |
Cited by: Papers (4)
Artificial immune algorithm (AIA) is used for offline as well as online path planning in this paper. Firstly, AIA is divided into three cases: 1. antibody is randomly selected to inoculate; 2. all antibodies are inoculated; 3. every antibody is inoculated, but inoculated location is selected at random. At the same time, we have simulated two kinds of threat uncertainties and one specia...Show More
Study of reactive power optimization based on Artificial Immune Ant Colony Algorithm
2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies
Year: 2008 | Conference Paper |
Cited by: Papers (3)
This paper presents an algorithm for optimizing reactive power using Artificial Immune Ant Colony Algorithm. This hybrid algorithm uses Artificial Immune Algorithm (AIA) to give pheromone to distribute and makes use of Ant Colony Algorithm (ACA) to give the optimal solution. The ACA has been improved. The improved ACA uses the best and worst ant to update the pheromone trails and pseudorando...Show More
Improved artificial immune algorithm based on dynamic shrinkage strategy
2022 2nd International Conference on Consumer Electronics and Computer Engineering (ICCECE)
Year: 2022 | Conference Paper |
In order to overcome the shortcomings of artificial immune algorithm in the process of function optimization, such as low convergence accuracy and weak local search ability, an improved artificial immune algorithm is proposed by introducing a variety of methods and designing a dynamic shrinkage strategy. Firstly, Logistic-Cubic cascade chaotic mapping is introduced to initialize the algorithm, so ...Show More
Study of Fault Diagnosis in Brushless Machines Based on Artificial Immune Algorithm
2006 IEEE International Symposium on Industrial Electronics
Year: 2006 | Conference Paper |
Cited by: Papers (4)
It is describes a kind of artificial immune algorithm (AIA), which is based on the nature immune system in this paper, and the basic principle of the immune system is presented. And the negative-selection algorithm is inspired by the negative-selection mechanism of the nature immune system, and it is can detect any tiny change in an actual system, so it can be used in the state monitoring an...Show More
Study of feature selection for the stored-grain insects based on artificial immune algorithm
2010 2nd International Asia Conference on Informatics in Control, Automation and Robotics (CAR 2010)
Year: 2010 | Conference Paper |
The feature subset selection is critical for the real-time detection of the stored-grain insects based on image recognition technology. This study proposed a feature selection method based on artificial immune algorithm Immune (AIA). The single objective affinity evaluation function was developed to evaluate the feature subset by introducing the v-fold cross-validation training model accurac...Show More
This paper proposes a new technique, which is an adapted of Artificial Immune Algorithm (AIA) for solving the well-known Travelling Salesman Problem (TSP). The aim of our algorithm is to achieve better optimal solution than the original version of the AIA. The proposed algorithm introduces two new features to the standard AIA algorithm. (1) the Double Split Method is introduced t...Show More
Automatic Loading and Unloading Control System of Cable Materials Based on Artificial Immune Algorithm Remote Sensing Image Recognition Technology
Yuqi Zhao;Zengchao Wang;Chuanyi Liu;Kefeng Li;Zihan Li;Dongliang Wang
2023 2nd International Conference on 3D Immersion, Interaction and Multi-sensory Experiences (ICDIIME)
Year: 2023 | Conference Paper |
Loading, unloading, transportation and transfer of materials is the key link connecting transportation, storage and distribution. It constantly appears and is repeated, including loading, unloading, transfer, classification, warehousing and warehousing. At present, the loading, unloading and transportation of many materials are still in the operation state of combining manpower, cart and forklift....Show More
Base Station Locations Optimization in LTE Using Artificial Immune Algorithm
2017 10th International Symposium on Computational Intelligence and Design (ISCID)
Year: 2017 | Conference Paper |
Cited by: Papers (4)
In order to reduce the cost of network construction, improve the network coverage and system capacity, a novel approach of Artificial Immune Algorithm(AIA) to solve the base station(BS) placement problem in Long Term Evolution(LTE) network is proposed in this paper. The mathematical model of AIA for BS locations planning problem was designed. Selecting a set of BSs with the minimum num...Show More
PID control parameters optimize based on an immune fruit fly optimization algorithm
2016 Chinese Control and Decision Conference (CCDC)
Year: 2016 | Conference Paper |
The traditional Ziegler-Nichols (Z-N) method usually fails to achieve the best control performance for tuning PID parameters. Thus, this paper proposed an immune fly fruit optimization algorithm (IFOA) with the error performance criterion of ITAE as fitness function for the PID parameters optimized. Firstly, the proposed algorithm selected the best fruit flies for immune vaccines in the osphresis ...Show More
Fault Diagnosis Based on Particle Swarm Optimization by Artificial Immunisation Algorithm
2009 International Conference on Multimedia Information Networking and Security
Year: 2009 | Conference Paper |
Particle swarm optimization (PSO) is a new general machine-learning tool under the evolutionary algorithms (EAs) and gained lots of attention in various engineering applications, this paper presents an intelligent methodology for diagnosing incipient faults in mine hoist. Artificial immunisation algorithm (AIA) is used to optimise the parameters in PSO in this paper. The AIA is a new o...Show More
An Efficient Hybrid Algorithm for Symmetric Travelling Salesman Problem
2021 2nd International Conference on Big Data Analytics and Practices (IBDAP)
Year: 2021 | Conference Paper |
This article presents the new algorithm for solving the symmetric travelling salesman problem (TSP). The proposed algorithm is mainly based on discrete concepts of the artificial immune algorithm (AIA) and simulated annealing algorithm (SA) with the intend to achieve better overall performance than the original version of the AIA. In order to improve the efficiency of the AIA, tw...Show More
An Efficient Hybrid Artificial Immune Algorithm for Clustering
2008 Eighth International Conference on Hybrid Intelligent Systems
Year: 2008 | Conference Paper |
Cited by: Papers (1)
This paper presents a hybrid efficient method namely hybrid immune algorithm (HIA) based on artificial immune algorithm (AIA) and bacterial optimization for clustering problems. Four local searches on the basis of heuristic rules for the given clustering problem are designed and applied. This proposed method is implemented and tested on two real datasets. Further, its performance is compared...Show More
An inception module CNN classifiers fusion method on pulmonary nodule diagnosis by signs
Tsinghua Science and Technology
Cited by: Papers (28)
A “sign” on a lung CT image refers to a radiologic finding that suggests a pathological progression of some specific disease. Analysis of CT signs is helpful to understand the pathological origin of the lesion. In-depth study of lung nodules classification with different CT signs will help to distinguish benign and malignant nodules more clearly and accurately. To this end, we propose an Inception...Show More
Notice of Violation of IEEE Publication Principles: Artificial Immune Algorithm based robot obstacle-avoiding path planning
2008 IEEE International Conference on Automation and Logistics
Year: 2008 | Conference Paper |
Cited by: Papers (1)
Planning of the optimal path has always been the target pursued by many researchers, and its application in mobile robot is one of the most important research topics. This paper aims to plan the obstacle-avoiding path for mobile robots based on the artificial immune algorithm (AIA) developed from the immune principle. This paper analyzes the motion characteristic of the car-like autonomous m...Show More
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