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Analysis method and algorithm design of biological sequence problem based on generalized k-mer vector
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作者 LIU Wen-li WU Qing-biao 《Applied Mathematics(A Journal of Chinese Universities)》 SCIE CSCD 2021年第1期114-127,共14页
K-mer can be used for the description of biological sequences and k-mer distribution is a tool for solving sequences analysis problems in bioinformatics.We can use k-mer vector as a representation method of the k-mer ... K-mer can be used for the description of biological sequences and k-mer distribution is a tool for solving sequences analysis problems in bioinformatics.We can use k-mer vector as a representation method of the k-mer distribution of the biological sequence.Problems,such as similarity calculations or sequence assembly,can be described in the k-mer vector space.It helps us to identify new features of an old sequence-based problem in bioinformatics and develop new algorithms using the concepts and methods from linear space theory.In this study,we defined the k-mer vector space for the generalized biological sequences.The meaning of corresponding vector operations is explained in the biological context.We presented the vector/matrix form of several widely seen sequence-based problems,including read quantification,sequence assembly,and pattern detection problem.Its advantages and disadvantages are discussed.Also,we implement a tool for the sequence assembly problem based on the concepts of k-mer vector methods.It shows the practicability and convenience of this algorithm design strategy. 展开更多
关键词 vector space biological sequence k-mer algorithm design analysis method.
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CONSTRUCTION METHODS AND ALGORITHM DESIGN OF WAVELET BASES
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作者 李兵兵 常义林 胡征 《Journal of Electronics(China)》 1995年第2期181-185,共5页
Based on the brief introduction of the principles of wavelet analysis, this paper gives a summary of several typical wavelet bases from the point of view of perfect reconstruction of signals and emphasizes that design... Based on the brief introduction of the principles of wavelet analysis, this paper gives a summary of several typical wavelet bases from the point of view of perfect reconstruction of signals and emphasizes that designing wavelet bases which are used to decompose the signal into a two-band form is equivalent to designing a two-band filter bank with perfect or nearly perfect property. The generating algorithm corresponding to Daubechies bases and some simulated results are also given in the paper. 展开更多
关键词 WAVELET ANALYSIS BASES design algorithm CONSTRUCTION
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Approach of generating parallel programs from parallelized algorithm design strategies 被引量:4
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作者 WAN Jian-yi LI Xiao-ying 《The Journal of China Universities of Posts and Telecommunications》 EI CSCD 2008年第3期128-132,共5页
Today, parallel programming is dominated by message passing libraries, such as message passing interface (MPI). This article intends to simplify parallel programming by generating parallel programs from parallelized... Today, parallel programming is dominated by message passing libraries, such as message passing interface (MPI). This article intends to simplify parallel programming by generating parallel programs from parallelized algorithm design strategies. It uses skeletons to abstract parallelized algorithm design strategies, as well as parallel architectures. Starting from problem specification, an abstract parallel abstract programming language+ (Apla+) program is generated from parallelized algorithm design strategies and problem-specific function definitions. By combining with parallel architectures, implicity of parallelism inside the parallelized algorithm design strategies is exploited. With implementation and transformation, C++ and parallel virtual machine (CPPVM) parallel program is finally generated. Parallelized branch and bound (B&B) algorithm design strategy and paraUelized divide and conquer (D & C) algorithm design strategy are studied in this article as examples. And it also illustrates the approach with a case study. 展开更多
关键词 parallel programming SKELETONS algorithm design strategy parallel architecture
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An Incremental Approach to Automatic Algorithm Design
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作者 栾尚敏 李未 《Journal of Computer Science & Technology》 SCIE EI CSCD 1999年第4期314-319,共6页
This paper presents an incremental approach to automatic algorithm design, which can be described by algebraic specifications precisely and conveniently. The definitions of selection operator and extension operator wh... This paper presents an incremental approach to automatic algorithm design, which can be described by algebraic specifications precisely and conveniently. The definitions of selection operator and extension operator which can bedefined by strategy relations and transformations are given in order to model theprocess of finding the solution of a problem. Also discussed is its object-orientedimplementation. The functional specification and the design specification for an algorithm are given in one framework so that the correctness of the algorithm can beeasily proved. 展开更多
关键词 automatic algorithm design algebraic specification object-orientedmethodology
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Real-time Design Constraints in Implementing Active Vibration Control Algorithms 被引量:1
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作者 Mohammed Alamgir Hossain Mohammad Osman Tokhi 《International Journal of Automation and computing》 EI 2006年第3期252-262,共11页
Although computer architectures incorporate fast processing hardware resources, high performance real-time implementation of a complex control algorithm requires an efficient design and software coding of the algorith... Although computer architectures incorporate fast processing hardware resources, high performance real-time implementation of a complex control algorithm requires an efficient design and software coding of the algorithm so as to exploit special features of the hardware and avoid associated architecture shortcomings. This paper presents an investigation into the analysis and design mechanisms that will lead to reduction in the execution time in implementing real-time control algorithms. The proposed mechanisms are exemplified by means of one algorithm, which demonstrates their applicability to real-time applications. An active vibration control (AVC) algorithm for a flexible beam system simulated using the finite difference (FD) method is considered to demonstrate the effectiveness of the proposed methods. A comparative performance evaluation of the proposed design mechanisms is presented and discussed through a set of experiments. 展开更多
关键词 algorithm analysis and design active vibration control (AVC) flexible beam system real-time control memory management.
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New Optimization Method, the Algorithms of Changes, for Heat Exchanger Design 被引量:6
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作者 TAM Houkuan TAM Lapmou +2 位作者 TAM Sikchung CHIO Chouhei GHAJAR Afshin J 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2012年第1期55-62,共8页
Heat exchangers are widely used in the process engineering such as the chemical industries, the petroleum industries, and the HVAC applications etc. An optimally designed heat exchanger cannot only help the optimizati... Heat exchangers are widely used in the process engineering such as the chemical industries, the petroleum industries, and the HVAC applications etc. An optimally designed heat exchanger cannot only help the optimization of the equipment size but also the reduction of the power consumption. In this paper, a new optimization approach called algorithms of changes (AOC) is proposed for design and optimization of the shell-tube heat exchanger. This new optimization technique is developed based on the concept of the book of changes (I Ching) which is one of the oldest Chinese classic texts. In AOC, the hexagram operations in I Ching are generalized to binary string case and an iterative process, which imitates the I Ching inference, is defined. Before applying the AOC to the heat exchanger design problem, the new optimization method is examined by the benchmark optimization problems such as the global optimization test functions and the travelling salesman problem (TSP). Based on the TSP results, the AOC is shown to be superior to the genetic algorithms (GA). The AOC is then used in the optimal design of heat exchanger. The shell inside diameter, tube outside diameter, and baffles spacing are treated as the design (or optimized) variables. The cost of the heat exchanger is arranged as the objective function. For the heat exchanger design problem, the results show that the AOC is comparable to the GA method. Both methods can find the optimal solution in a short period of time. 展开更多
关键词 OPTIMIZATION genetic algorithms (GA) travelling salesman problem (TSP) heat exchanger design algorithms of changes (AOC)
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Genetic Algorithms for the Optimal Design of Electromagnetic Micro-Motors 被引量:4
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作者 李振波 《High Technology Letters》 EI CAS 2000年第1期52-55,共4页
The genetic algorithm (GA) to the design of electromagnetic micro motor to optimize parameter design. Besides the different oversize from macro motor, the novel structure of micro motor which the rotor is set betwee... The genetic algorithm (GA) to the design of electromagnetic micro motor to optimize parameter design. Besides the different oversize from macro motor, the novel structure of micro motor which the rotor is set between the two stators make its design different, too. There are constraint satisfaction problems CSP) in the design. It is shown that the use GA offers a high rate of global convergence and the ability to get the optimal design of electromagnetic micro motors. 展开更多
关键词 GENETIC algorithm micro MOTOR design CONSTRAINT SATISFACTION problems optimization
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Satellite Constellation Design with Adaptively Continuous Ant System Algorithm 被引量:5
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作者 He Quan Han Chao 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2007年第4期297-303,共7页
The ant system algorithm (ASA) has proved to be a novel meta-heuristic algorithm to solve many multivariable problems. In this paper, the earth coverage of satellite constellation is analyzed and a n + 1^ -fold cov... The ant system algorithm (ASA) has proved to be a novel meta-heuristic algorithm to solve many multivariable problems. In this paper, the earth coverage of satellite constellation is analyzed and a n + 1^ -fold coverage rate is put forward to evaluate the coverage performance of a satellite constellation. An optimization model of constellation parameters is established on the basis of the coverage performance. As a newly developed method, ASA can be applied to optimize the constellation parameters. In order to improve the ASA, a rule for adaptive number of ants is proposed, by which the search range is obviously enlarged and the convergence speed increased. Simulation results have shown that the ASA is more quick and efficient than other methodV211.71s. 展开更多
关键词 ant system algorithm satellite constellation optimization design coverage performance adaptive adjusting
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Selection diagram of design algorithms for neutron-focusing supermirrors
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作者 Wen-Bo Mo Hua-Rui Wu Xue-Wu Wang 《Nuclear Science and Techniques》 SCIE EI CAS CSCD 2022年第8期106-117,共12页
The neutron supermirror is an important neutron optical device that can significantly improve the efficiency of neutron transport in neutron guides and has been widely used in research neutron sources.Three types of a... The neutron supermirror is an important neutron optical device that can significantly improve the efficiency of neutron transport in neutron guides and has been widely used in research neutron sources.Three types of algorithms,including approximately ten algorithms,have been developed for designing high-efficiency supermirror structures.In addition to its applications in neutron guides,in recent years,the use of neutron supermirrors in neutronfocusing mirrors has been proposed to advance the development of neutron scattering and neutron imaging instruments,especially those at compact neutron sources.In this new application scenario,the performance of supermirrors strongly affects the instrument performance;therefore,a careful evaluation of the design algorithms is needed.In this study,we examine two issues:the effect of nonuniform film thickness distribution on a curved substrate and the effect of the specific neutron intensity distribution on the performance of neutron supermirrors designed using existing algorithms.The effect of film thickness nonuniformity is found to be relatively insignificant,whereas the effect of the neutron intensity distribution over Q(where Q is the magnitude of the scattering vector of incident neutrons)is considerable.Selection diagrams that show the best design algorithm under different conditions are obtained from these results.When the intensity distribution is not considered,empirical algorithms can obtain the highest average reflectivity,whereas discrete algorithms perform best when the intensity distribution is taken into account.The reasons for the differences in performance between algorithms are also discussed.These findings provide a reference for selecting design algorithms for supermirrors for use in neutron optical devices with unique geometries and can be very helpful for improving the performance of focusing supermirror-based instruments. 展开更多
关键词 Neutron-focusing supermirror design algorithm Thickness nonuniformity Intensity distribution over Q Selection diagram
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Immune Genetic Algorithm for Optimal Design 被引量:2
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作者 杨建国 李蓓智 项前 《Journal of Donghua University(English Edition)》 EI CAS 2002年第4期16-19,共4页
A computing model employing the immune and genetic algorithm (IGA) for the optimization of part design is presented. This model operates on a population of points in search space simultaneously, not on just one point.... A computing model employing the immune and genetic algorithm (IGA) for the optimization of part design is presented. This model operates on a population of points in search space simultaneously, not on just one point. It uses the objective function itself, not derivative or any other additional information and guarantees the fast convergence toward the global optimum. This method avoids some weak points in genetic algorithm, such as inefficient to some local searching problems and its convergence is too early. Based on this model, an optimal design support system (IGBODS) is developed.IGBODS has been used in practice and the result shows that this model has great advantage than traditional one and promises good application in optimal design. 展开更多
关键词 automation artificial IMMUNE system (AIS) Optimal design EVOLUTIONARY algorithm GENETIC algorithm
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An Adaptive Differential Evolution Algorithm to Solve Constrained Optimization Problems in Engineering Design 被引量:2
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作者 Y.Y. AO H.Q. CHI 《Engineering(科研)》 2010年第1期65-77,共13页
Differential evolution (DE) algorithm has been shown to be a simple and efficient evolutionary algorithm for global optimization over continuous spaces, and has been widely used in both benchmark test functions and re... Differential evolution (DE) algorithm has been shown to be a simple and efficient evolutionary algorithm for global optimization over continuous spaces, and has been widely used in both benchmark test functions and real-world applications. This paper introduces a novel mutation operator, without using the scaling factor F, a conventional control parameter, and this mutation can generate multiple trial vectors by incorporating different weighted values at each generation, which can make the best of the selected multiple parents to improve the probability of generating a better offspring. In addition, in order to enhance the capacity of adaptation, a new and adaptive control parameter, i.e. the crossover rate CR, is presented and when one variable is beyond its boundary, a repair rule is also applied in this paper. The proposed algorithm ADE is validated on several constrained engineering design optimization problems reported in the specialized literature. Compared with respect to algorithms representative of the state-of-the-art in the area, the experimental results show that ADE can obtain good solutions on a test set of constrained optimization problems in engineering design. 展开更多
关键词 DIFFERENTIAL Evolution CONSTRAINED Optimization Engineering design EVOLUTIONARY algorithm CONSTRAINT HANDLING
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Genetic Algorithm for Injection Mould Design and Moulding
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作者 K F Chu J K L Ho C K Mok 《厦门大学学报(自然科学版)》 CAS CSCD 北大核心 2002年第S1期189-,共1页
Obtaining the optimal values of the parameters for th e design of a required mould and the operation of the moulding process are diffi cult, this is due to the complexity of product geometry and the variation of pla s... Obtaining the optimal values of the parameters for th e design of a required mould and the operation of the moulding process are diffi cult, this is due to the complexity of product geometry and the variation of pla stic material properties. The typical parameters for the mould design and mouldi ng process are melt flow length, injection pressure, holding pressure, back pres sure, injection speed, melt temperature, mould temperature, clamping force, inje ction time, holding time and cooling time. This paper discusses the difficulties of using the current computer aided optimization methods to acquire the values of the parameters. A method that is based on the concept of genetic algorithm is proposed to overcome the difficulties. The proposed method describes in details on how to attain the optimal values of the parameters form a given product geom etry. 展开更多
关键词 Genetic algorithm for Injection Mould design and Moulding
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A Generic Design Model for Evolutionary Algorithms
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作者 He Feng, Kang Li-shan, Chen Yu-pingState Key Laboratory of Software Engineering, Wuhan University, Wuhan 430072,Hubei, China 《Wuhan University Journal of Natural Sciences》 CAS 2003年第S1期224-228,共5页
A generic design model for evolutionary algorithms is proposed in this paper. The model, which was described by UML in details, focuses on the key concepts and mechanisms in evolutionary algorithms. The model not only... A generic design model for evolutionary algorithms is proposed in this paper. The model, which was described by UML in details, focuses on the key concepts and mechanisms in evolutionary algorithms. The model not only achieves separation of concerns and encapsulation of implementations by classification and abstraction of those concepts, it also has a flexible architecture due to the application of design patterns. As a result, the model is reusable, extendible, easy to understand, easy to use, and easy to test. A large number of experiments applying the model to solve many different problems adequately illustrate the generality and effec-tivity of the model. 展开更多
关键词 evolutionary algorithm generic design model separation of concerns ENCAPSULATION REUSABILITY extend-ibility
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Optimal Design of Materials for DJMP Based on Genetic Algorithm
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作者 冯仲仁 《Journal of Wuhan University of Technology(Materials Science)》 SCIE EI CAS 2004年第1期89-90,共2页
The genetic algorithm was used in optimal design of deep jet method pile.The cost of deep jet method pile in one unit area of foundation was taken as the objective function.All the restrains were listed following the ... The genetic algorithm was used in optimal design of deep jet method pile.The cost of deep jet method pile in one unit area of foundation was taken as the objective function.All the restrains were listed following the corresponding specification.Suggestions were proposed and the modified.The real-coded Genetic Algorithm was given to deal with the problems of excessive computational cost and premature convergence.Software system of optimal design of deep jet method pile was developed. 展开更多
关键词 DJMP Materials optimal design genetic algorithm
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Design of Process Centrifugal Compressor: an Adapted Algorithm
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作者 Muhammad Ali Ashjari Hassan Ali Marefat Reza Shahhosseini 《Journal of Energy and Power Engineering》 2014年第2期237-243,共7页
Considering the essential and influential role of centrifugal compressors in a wide range of industries makes most of engineers research and study on design and optimization of centrifugal compressors. Centrifugal com... Considering the essential and influential role of centrifugal compressors in a wide range of industries makes most of engineers research and study on design and optimization of centrifugal compressors. Centrifugal compressors are the key to part ofoil, gas and petrochemical industries as well as gas pipeline transports. Since complete 3D design of the compressor consumes a considerable amount of time, most of active companies in the field, are profoundly interested in obtaining a design outline before taking any further steps in designing the entire machine. In this paper, a numerical algorithm, named ACDA (adapted compressor design algorithm) for fast and accurate preliminary design of centrifugal compressor is presented. The design procedure is obtained under real gas behavior, using an appropriate equation of state. Starting from impeller inlet, the procedure is continued on by resulting in numerical calculation for other sections including impeller exit, volute and exit diffuser. Clearly, in any step suitable correction factors are employed in order to conclude in precise numerical results. Finally, the achieved design result is compared with available reference data. 展开更多
关键词 Process centrifugal compressor adapted design algorithm real gas.
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Series-parallel Hybrid Vehicle Control Strategy Design and Optimization Using Real-valued Genetic Algorithm 被引量:14
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作者 XIONG Weiwei YIN Chengliang ZHANG Yong ZHANG Jianlong 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2009年第6期862-868,共7页
Despite the series-parallel hybrid electric vehicle inherits the performance advantages from both series and parallel hybrid electric vehicle, few researches about the series-parallel hybrid electric vehicle have been... Despite the series-parallel hybrid electric vehicle inherits the performance advantages from both series and parallel hybrid electric vehicle, few researches about the series-parallel hybrid electric vehicle have been revealed because of its complex co nstruction and control strategy. In this paper, a series-parallel hybrid electric bus as well as its control strategy is revealed, and a control parameter optimization approach using the real-valued genetic algorithm is proposed. The optimization objective is to minimize the fuel consumption while sustain the battery state of charge, a tangent penalty function of state of charge(SOC) is embodied in the objective function to recast this multi-objective nonlinear optimization problem as a single linear optimization problem. For this strategy, the vehicle operating mode is switched based on the vehicle speed, and an "optimal line" typed strategy is designed for the parallel control. The optimization parameters include the speed threshold for mode switching, the highest state of charge allowed, the lowest state of charge allowed and the scale factor of the engine optimal torque to the engine maximum torque at a rotational speed. They are optimized through numerical experiments based on real-value genes, arithmetic crossover and mutation operators. The hybrid bus has been evaluated at the Chinese Transit Bus City Driving Cycle via road test, in which a control area network-based monitor system was used to trace the driving schedule. The test result shows that this approach is feasible for the control parameter optimization. This approach can be applied to not only the novel construction presented in this paper, but also other types of hybrid electric vehicles. 展开更多
关键词 series-parallel hybrid electric vehicle control strategy design OPTIMIZATION real-valued genetic algorithm
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Satellite constellation design with genetic algorithms based on system performance
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作者 Xueying Wang Jun Li +2 位作者 Tiebing Wang Wei An Weidong Sheng 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2016年第2期379-385,共7页
Satellite constellation design for space optical systems is essentially a multiple-objective optimization problem. In this work, to tackle this challenge, we first categorize the performance metrics of the space optic... Satellite constellation design for space optical systems is essentially a multiple-objective optimization problem. In this work, to tackle this challenge, we first categorize the performance metrics of the space optical system by taking into account the system tasks(i.e., target detection and tracking). We then propose a new non-dominated sorting genetic algorithm(NSGA) to maximize the system surveillance performance. Pareto optimal sets are employed to deal with the conflicts due to the presence of multiple cost functions. Simulation results verify the validity and the improved performance of the proposed technique over benchmark methods. 展开更多
关键词 space optical system non-dominated sorting genetic algorithm(NSGA) Pareto optimal set satellite constellation design surveillance performance
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Algorithm and Design Methodology to Develop a PIFA with Optimized Reflection Coefficient for the ISM 868 MHz Band
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作者 Bouchta Hajjine Christophe Escriba +1 位作者 Daniel Medale Jean-Yves Fourniols 《Open Journal of Antennas and Propagation》 2016年第4期166-175,共10页
This paper presents a methodological approach to design a printed Inverted F antenna for the ISM 868 MHz band. For this design, the ground plane dimensions were kept fixed and the meandered radiating arm was modified ... This paper presents a methodological approach to design a printed Inverted F antenna for the ISM 868 MHz band. For this design, the ground plane dimensions were kept fixed and the meandered radiating arm was modified to obtain the best compromise integration/performances. This approach was then generalized to design meandered printed inverted F antennas. 展开更多
关键词 design algorithm Meandered Antenna PIFA ISM Integration Reflection Coefficient
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Reliability-Based Optimum Design of a Simple Offshore Platform Based on Genetic Algorithms
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作者 Zhang, LY Hu, YC Li, XJ 《China Ocean Engineering》 SCIE EI 1998年第1期43-52,共10页
In this paper, the problem of reliability-based optimal design of simple offshore platform is studied, and a nonlinear fatigue damage model based on damage mechanics and genetic algorithms are used in the fatigue reli... In this paper, the problem of reliability-based optimal design of simple offshore platform is studied, and a nonlinear fatigue damage model based on damage mechanics and genetic algorithms are used in the fatigue reliability optimum design of the structure under stochastic wave load. The fatigue damage model and the yield failure reliability analyzing model are used in the paper. The reliability of the models and the effectiveness of genetic algorithm are shown by the results of optimum design. 展开更多
关键词 damage mechanics genetic algorithms reliability-based optimum design fatigue reliability
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NEW MULTIOBJECTIVE SIMULATED ANNEALING ALGORITHM AND ITS APPLICATION TO TURBINE CASCADES’ DESIGN 被引量:1
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作者 Tong Tong Feng Zhenping Xi’an Jiaotong University 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 1999年第1期51-56,共6页
A new kind of multiobjective simulated annealing algorithm is proposed,in which the concept of non dominated character is introduced and a new multiobjective acceptance criterion is set up.The optimization example of... A new kind of multiobjective simulated annealing algorithm is proposed,in which the concept of non dominated character is introduced and a new multiobjective acceptance criterion is set up.The optimization example of a typical mathematical problem with two minimum objective functions indicates that all of the solutions contract to the set of the non dominated points,and the variation trend of the optimal solutions is verified to be identical with that obtained using Genetic Algor thms.The new developed algorithm is then applied to the multiobjective optimization design of turbine cascades,in which it is coupled with the aerodynamics computation of the cascade flow fields and performance and the calculated loss coefficient and work potential of the cascade are considered as the objective functions,thus setting up a technique to the engineering optimization design for the cascades.The optimization results,by the view of a group of optimal solutions,show that the algorithm is superior to the traditional technique of multiobjective optimization design and can be applied to more than two objective optimization cascade design problem or other engineering multiobjective optimization designs. 展开更多
关键词 Simulated annealing algorithm MULTIOBJECTIVE Optimization design Turbine cascade
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