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The multi-state weighted k-out-of-n system model can illustrate the performance and reliability/availability relationship between components and system so that attracted more and more attentions in recent years. Under the condition that the state probabilities of components are dynamically changing with time, this paper presents a generalized instantaneous availability model for multi-state weighted...
Recently, the employment demand has been paid a lot of attention to so that the research with respect to the forecasting methods such as linear regression, artificial intelligence and the grey prediction method have been comprehensively investigated. Since the predictive focus and the characteristics of the methods are different, the outcomes of predictions cannot achieve the accuracy by simply hybridizing...
Flight Control System (FCS) is a key component in aircraft. The high reliability of FCS is needed to ensure the safety flight. In order to achieve the high reliability and make the overall mass and volume as small as possible, mission reliability of the multi-redundancy voting structure of FCS is used as the objective function. The types of the elements and the number of redundancies are chosen as...
This paper presents an efficient way to maximize the throughput of mixed batch/continuous process based on integrated hybrid time Petri nets and genetic algorithm. The scheduling problem of process is mapped as the solution of the optimal regional state sequence in HTPNs. The transition firing decision model is developed according to the enabling and firing rules, and a genetic algorithm of scheduling...
This paper proposes a new algorithm(GA-PSO) by combining genetic algorithm and particle swarm optimization to improve the accuracy of camera self-calibration based on the Kruppa equation. Firstly, the simplified Kruppa equations based on the SVD of the fundamental matrix is converted into the optimized cost function. Secondly, the minimum value of the optimized cost function is calculated by GA-PSO...
First pioneered by John Holland in the 60s, Genetic Algorithms has been widely studied, experimented and applied in many fields in the real world. The correlated courses have been offered at many universities. However, the teaching methods for the algorithm are not sufficient. This paper proposes an experimental tool for the teaching of the genetic algorithm. The traveling salesman problem is conducted...
A networked distributed inventory management system of logistics based on coordination center is established in this paper. The storage data consists of user information, delivery time, requirement information and the inventory of warehouse. Through the coordination center, the funds and supply ability between suppliers are dispensed to satisfy the demands of customers. The warehouse orders and allocation...
Reasonable scanning task scheduling strategy can improve the scanning efficiency of vulnerability detection systems at a large extent. Task scheduling problem has been proved to be an NP-complete problem. Based on the request and characteristics of vulnerability detection technology, this paper establishes a distributed scanning task scheduling model, and describes a scanning task distributing algorithm...
In power grid, we focus on one kind of high performance computing applications, that is, power system computing and Simulation (PCS) applications. PCS applications are always broken down into several sub-tasks depending on each other, which can be represented as a DAG. Genetic algorithm (GA) has been widely used to solve the dependent tasks scheduling. However the conventional GA is too slow to be...
Many previous genetic algorithm methods can get much better example results in KDD cup 99 dataset. In the real intrusion detection system, the software needs update the rule even everyday. In this paper, we expand previous work and present a fitness function, propose an efficient rule generator for denial of services of network intrusion detection. We use more chromosomes with relevant features and...
Grey theory has been applied widely in the field of prediction and decision, but model precision is influenced extremely by sequence smooth degree, boundary condition and background value. Genetic algorithm has well effect in searching for best result because it is an effective way. The paper advances a new method, sin function is used to deal with sequence, and genetic algorithm is used to optimize...
Nozzle plays very important role to control the gas flow during the interruption for SF6 circuit breaker (CB). Due to the higher non-linear global mapping relationship between interruption performance of SF6 CB and its nozzle structural parameters, artificial neural network (ANN) and genetic algorithm (GA) were applied to the nozzle parameter optimization of SF6 CB on the basis of the non-linear mapping...
Due to the uncertainty of future demand, companies have changed their production planning mode from pre-planning to produce according to the accepted orders, which is named as make-to-order (MTO) or build-to-order (BTO). The hypothesis of independent demand, which falls short of the real state, has been widely introduced in the model of traditional production planning. In general, the future demand...
Based on the antibody clonal selection theory and Lamarckian evolution, we put forward a novel Lamarckian Clonal Selection Algorithm (LCSA) for multiuser detection in code-division multiple-access systems. By using the clonal selection operator and the idea of Lamarckian evolution, the new algorithm can carry out the stochastic search and experience learning. After discussing the main characters of...
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