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In order to explain the geological structure accurately and quickly, we analyze the gas mixture gathered from the well by Infrared Spectroscopy Fourier Transform Spectrometer instead of gas chromatograph. In the process of the spectrum analysis, the reduction of the spectrum data dimention is very neccessary to perform. In this paper, we propose a feature extraction method is based on waveband selections...
Extra reshuffling may occur when lifting containers up for loading onto ships. One way to improve loading efficiency is to optimize the container storage strategy in order to fit the loading sequence. This paper proposes a two-stage algorithm to solve for a better storage strategy. The optimization goal is to minimize the number of container reshuffling operations. In the first stage, Markov forecast...
The increasing integration degree of circuits in electronic systems makes faults detection and isolation more and more difficult. Design for testability (DFT) was applied to solve the problem. In this procedure, designers are required to set an optimum arrangement of sensors to achieve the best testability. But the search of the best test points combination is usually conducted by manual work. To...
Network on Chip (NoC) is a sophisticated communication infrastructure that provides quality of service (QoS) guarantees for a complex Systems-on-Chip (SoC) application. Some applications demand guaranteed end-to-end latency. Mapping algorithms are used to map an application on an NoC to satisfy the bandwidth constraints and end-to-end latency requirements. The design of the mapping algorithms determines...
After analyzing the essence of service selection, an optimum service selection genetic algorithm with multi-objective constraints is proposed. The algorithm includes a matrix-coding scheme of chromosomes that expresses the relationship between service providers, services and end-users. Special crossover and mutation operations based on matrix-coding are constructed, and both operations can ensure...
Reasonably arranging the occupation plan of arrival and departure track is the key of compiling stage plan. In order to arrange arrival and departure track rationally and effectively, building utilization's mathematical model is needed. The model of the occupation plan of arrival and departure track in this paper is a nonlinear integer programming model, so it is difficult to be solved directly. For...
The experts' opinions integration has always been an important part of group decision making. This paper analyses the consistency of general judgment matrix and proposes a model of group priority weight vector calculation. Through the analysis of this model, a genetic algorithms is designed, and values of some parameters are proposed. Since the Analytic Hierarchy Process in Generaliaed Judgemet(GJAHP)...
In order to overcome the disadvantages that simple genetic algorithm had in low-dimensional and multimodal function optimization, an improved algorithm was proposed. The new algorithm divided the search interval into different areas by method of orthogonal decomposition, produced initial populations that had different individual distribution density by using interval algorithm, and gave each individual...
Wireless heterogeneous environments are common reality today and will be even more in the future. This paper is focused on providing wireless access selection method for the future mobile terminals that will use naturally inspired algorithms for best network selection. The novel algorithm uses mobile terminal measurements from different radio access technologies within a given time window. The network...
In this paper we introduce an improved Canny edge detection algorithm and an edge preservation filtering procedure for pavement edge detection applications. Data of pavement images were randomly selected to test this algorithm. There are some problems of Canny operator, unable to detect the weak edge and distinguish the grayscale with little change, the detected edge uncontinuous. Based on these defects,...
In the data grid environment, when users access to files, how to select the best site to obtain files from multiple replicas and reach the highest QOS (quality of service) in the cost of same price is a problem that need to be studied urgently, that is replica selection. In this paper, it proposes a new combination algorithm based on genetic algorithm and ant algorithm, which not only solves the inefficient...
One of the important issues which steel enterprises focus on is to reduce the cost occurred in unloading process of ocean-going ship, based on the overseas procurement background of a famous steel enterprise, the unloading problem with random arrival times is investigated in this paper, the cost construction of unloading problem is analyzed and its mathematical models for deterministic and stochastic...
Research of job scheduling methods of arc welding robot is focused in this paper. The job scheduling of arc welding robot is considered as a Traveling-salesman-Problem. Welding job scheduling is modeled and relevant job scheduling optimization methods are designed. Genetic algorithm and ant colony algorithm are applied to robot welding job scheduling first. Then, based on the characteristics of both...
Artificial Tribe Algorithm (ATA) is a novel intelligent optimization algorithm based on the simulation of bionic intelligent optimization algorithm. This work discusses the main factors which influence the performance of ATA, and compares the performance of ATA with that of genetic algorithm (GA), particle swarm optimization (PSO), and artificial fish-swarm algorithm (AFSA) for optimization multivariable...
One of the important Challenges for steel enterprises is to reduce the procurement cost occurred in unloading process of ocean-going ship, ore as the main material contains usually some uncertain demand, and its unloading process is a typically complex problem with large scale. In this paper, unloading cost composition is analyzed strictly, and its mathematical model with stochastic demand is established...
As the key technique of path planning system, path planning method can directly influence the performance of path planning system. According to the characteristics of different unmanned aerial vehicle, the path planning method evaluation model based on Monte-Carlo was established, and the corresponding valuation indexes were presented. By simulation and analyzing of improved A* algorithm and Genetic...
In this paper, a novel intelligent optimization algorithm - Artificial Tribe Algorithm (ATA) is presented and discussed based on the analyses of the principle and uniform framework of the Bionic Intelligent Optimization Algorithms (BIOA). ATA simulates the existent skills of the natural tribes, and actualizes the optimization purpose through the propagation and migration behaviors of the tribes. ATA...
Web service is an application program, which is based on internet, distributed, self-included, self-described and modular. It possesses the attributes of well encapsulation and loose coupling. With the prevailing of Web service, how to select a set of services among large body of services with the same function in order to make the Composite Web Service achieve better performance and better quality...
In this paper, the structural features of the radial basis network as well as both the center value of the hidden node and the width parameter's influence on the structure are analyzed; the strategy of optimizing the center value and the width parameter by genetic algorithm is researched. An above-algorithm based yarn quality forecast model is established, and the result shows that the predictive...
As a new communication mode, anycast brings along challenges and opportunities for domestic and international researchers. The quality of anycast service mainly relies on the selection of QoS routing. Aiming at the proposed anycast routing algorithm, this paper introduces its disadvantages on the experimental analyses and its advantages of simulation based on NS2. It then focuses on a proposed anycast...
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