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Design methods for ULA-based directional antenna arrays by shaping the Cramer-Rao bound functions

IET SIGNAL PROCESSING 2018年第2期12卷 247-254页

作者： Chen, Minqiu Mao, Xingpeng Guo, Ran Cao, Ming-Yang Liu, Yongtan Harbin Inst Technol Sch Elect & Informat Engn Harbin Heilongjiang Peoples R China Collaborat Innovat Ctr Informat Sensing & Underst Harbin Heilongjiang Peoples R China Sci & Technol Elect Informat Control Lab Chengdu Sichuan Peoples R China

This study focuses on the design methods for uniform linear array (ULA) based directional antenna arrays by optimising the radiation characteristics of elements. To improve the performance of direction-of-arrival (DOA) estimation in a predetermined objective spatial sector which includes all the potential directions of incidence, Cramer-Rao bound based optimisation models are established by utilising the least squares fitting technique. Besides, a modified simulated annealing (sa) algorithm with the iteration of parameters is proposed, aiming to solve the optimisation problems when the classic sa is invalid. Compared with the corresponding conventional ULA, an optimised array can obtain higher accuracy of DOA estimation in the objective spatial sector with little fluctuation. Additionally, the optimised design of radiation characteristics can also suppress the ambiguities, and remains effective for the arrays with different aperture. Simulation results verify the effectiveness of the proposed methods and the superiority of the optimised arrays.

关键词： directive antennas linear antenna arrays antenna radiation patterns direction-of-arrival estimation optimisation least squares approximations simulated annealing design methods ULA-based directional antenna arrays Cramer-Rao bound functions uniform linear array radiation characteristics direction-of-arrival estimation DOA estimation optimisation models least squares fitting technique modified simulated annealing algorithm sa algorithm objective spatial sector

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An artificial bee colony algorithm for design and optimize the fixed area layout problems

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INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY 2015年第9-12期78卷 2079-2095页

作者： saravanan, M. Arulkumar, P. V. Sri Subramanya Coll Engn & Technol Palani Tamil Nadu India Bharath Niketan Engn Coll Dept Mech Engn Aundipatty India

The placement of production equipments plays a major role in designing a layout in cellular manufacturing. The better placement increases the productivity. This article introduces a new algorithm to design and optimize a fixed area cellular layout problem by using an artificial bee colony (ABC) technique which is based on the intelligent foraging behavior of a honeybee. The objective of this article is to determine the physical arrangement of work centers by minimizing the total traveling distance of the product. Volume of the product and distance between the work centers are the important factors that affect layout design. Some relative importance factors like priority of products, hazardous moves, and back-tracking moves are considered in this article. Layout moment ratio helps to compare the different proposed layouts. The higher layout moment ratio is the more desirable layout. Also this article compares the results of ABC technique with genetic algorithm (GA) and simulated annealing (sa) algorithm based on the total moment value, layout moment ratio, number of iterations, computation time, and back-tracking movements. Finally, it concluded that ABC is a better technique to solve fixed area cellular layout problems than the mentioned algorithms with high dimensionality.

关键词： Cellular manufacturing ABC algorithm GA sa algorithm Relative importance factors

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Metaheuristic approach for constructing functional test-suites

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IET SOFTWARE 2013年第2期7卷 104-117页

作者： Avila-George, Himer Torres-Jimenez, Jose Gonzalez-Hernandez, Loreto Hernandez, Vicente Inst Tecnol Super Salvatierra Salvatierra Gto 48900 Mexico CINVESTAV TAMAULIPAS Informat Technol Lab Ciudad Victoria Tamps Mexico Univ Politecn Valencia CIEMAT Ctr Mixto CSIC Inst Instrumentac Imagen Mol I3M Valencia 46022 Spain

Today, software systems are complex and have many possible configurations. A deficient software testing process often leads to unfortunate consequences, including data losses, large economic losses, security breaches, and even bodily harm. Thus, the problem of performing effective and economical testing is a key issue. Combinatorial testing is a method that can reduce cost and increase the effectiveness of software testing for many applications. It is based on constructing economical sized test-suites that provide coverage of the most prevalent configurations. Mixed covering arrays (MCAs) are combinatorial structures that can be used to represent these test-suites. MCAs are combinatorial objects represented as matrices having a test case per row. MCAs are small, in comparison to an exhaustive approach, and guarantee a level of interaction coverage among the parameters involved. This study presents a metaheuristic approach based on a simulated annealing (sa) algorithm for constructing MCAs. This algorithm incorporates several distinguishing features, including an efficient heuristic to generate good quality initial solutions, and a compound neighbourhood function that combines two carefully designed neighbourhood functions. The experimental design involved a benchmark reported in the literature and two real cases of software components. The experimental evidence showed that the sa algorithm equals or improves the obtained results by other approaches reported in the literature, and also finds the optimal solution in some of the solved cases.

关键词： economics program testing simulated annealing software engineering metaheuristic approach functional test-suites software systems software testing economical testing combinatorial testing mixed covering arrays MCA combinatorial structures simulated annealing sa algorithm economics program testing simulated annealing software engineering metaheuristic approach functional test-suites software systems software testing economical testing combinatorial testing mixed covering arrays MCA combinatorial structures simulated annealing sa algorithm

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Simulated annealing algorithm for the optimisation of an electrical machine

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IET ELECTRIC POWER APPLICATIONS 2012年第9期6卷 735-742页

作者： Fodorean, D. Idoumghar, L. N'diaye, A. Bouquain, D. Miraoui, A. Tech Univ Cluj Napoca Dept Elect Machines & Drives Cluj Napoca Romania Univ Haute Alsace Dept Comp Sci Mulhouse France Univ Technol Belfort Montbeliard Dept Elect Engn Belfort France

This study presents a novel simulated annealing (sa) algorithm for the optimisation of an electrical machine. Firstly, the proposed sa algorithm is validated on five standard benchmark mathematical functions. Furthermore, the sa algorithm will be employed for the optimisation of a brushless synchronous motor. The optimised topology of the motor will be analysed numerically and the results will be validated experimentally. The obtained performances show that the proposed sa algorithm outperforms other algorithms described in the scientific literature.

关键词： brushless machines Optimisation techniques mathematical analysis simulated annealing brushless synchronous motor synchronous motors electrical machine mathematical functions optimisation Synchronous machines Mathematical analysis simulated annealing algorithm sa algorithm

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Isolated sub-100-as pulse generation by optimizing two-color laser fields using simulated annealing algorithm

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OPTICS EXPRESS 2009年第2期17卷 538-543页

作者： Zheng, Li Tang, Songsong Chen, Xianfeng Shanghai Jiao Tong Univ Dept Phys State Key Lab Fiber Opt Local Area Commun Network Shanghai 200240 Peoples R China

We propose a method to broaden the cut-off region of high harmonic generation by optimizing the parameters of two-color laser fields synthesized by an intense 5 fs pulse at 800 nm and a relatively weak, subharmonic pulse at 2400 nm. Simulated Annealing (sa) algorithm is employed to optimize the electric field amplitude, pulse duration of the control pulse, and the time delay between two pulses. Our simulation shows that a broadened XUV supercontinuum with a 115 eV spectral width can be generated, which is two times broader compared with no optimization, and directly creates an isolated 76as pulse even without any phase compensation. (C) 2008 Optical Society of America

关键词： .Isolated pulse duration High Harmonic time delay broader subharmonic broadened Two-color spectral width control pulse attosecond pulses sa algorithm laser fields pulse generation fs pulse optimizing the parameters XUV supercontinuum

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Using the Hybrid Simulated Annealing-M5 Tree algorithms to Extract the If-Then Operation Rules in a Single Reservoir

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WATER RESOURCES MANAGEMENT 2019年第10期33卷 3655-3672页

作者： Rouzegari, Nazak Hassanzadeh, Yousef sattari, Mohammad Taghi Univ Tabriz Fac Civil Engn Dept Water Engn Tabriz Iran Univ Tabriz Fac Civil Engn Ctr Excellence Hydroinformat Dept Water Engn Tabriz Iran Univ Tabriz Fac Agr Dept Water Engn Tabriz Iran Ankara Univ Fac Agr Dept Farm Struct & Irrigat Ankara Turkey

The environmental water demand of the Mahabad River in the Urmia Lake basin in Iran was first estimated, using the flow duration curve shifting method (FDC Shifting) in this study. Secondly, the optimal operating model of the reservoir was developed with the goals of decreasing the deficiencies and considering the downstream demands of the reservoir, especially the environmental water demands by employing the simulated annealing (sa) and non-linear programming (NLP) methods. The results of the sa algorithm were compared with those of the NLP model with the indices of reliability, resiliency velocity, vulnerability, and sustainability. Then, the optimum released water values in the current month, the optimum water storage values in the reservoir, reservoir inflows and monthly demands were considered as inputs of the M5 tree model, and the optimum values of released water in the next month were considered as outputs of the M5 model. Finally, the optimum operation rules from the reservoir were developed in the form of if-then linear rules for future uses. One of the main advantages of the M5 tree model is to present two operation rules as if-then rules for all the operating periods with relatively acceptable accuracy. The results showed that the sa-M5 tree model, as a method of data mining, can extract the operation rules with relatively high accuracy.

关键词： FDC shifting Mahabad reservoir M5 tree model sa algorithm Urmia Lake

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Emergency rush repair task scheduling of distribution networks in large-scale blackouts

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INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS 2016年 82卷 373-381页

作者： Pang, Nansheng Liu, Hao Huang, Shuyi Meng, Junjiao North China Elect Power Univ Sch Econ & Management Beijing Peoples R China

This paper focuses on the emergency rush-repair task scheduling of distribution networks in power grid emergencies. As there are many characteristics in distribution network emergency rush-repair such as large number of rush repair points, diverse but with limited repair resources and urgent repair time, this paper takes constraint conditions, such as a variety of execution modes and repair resources into consideration during the model building process of the emergency rush repair scheduling, and we study emergency repair strategies, such as using the emergency generator vehicle, nearby repair strategy and ordinary repair strategy. In order to obtain the optimal solution and satisfy the constraints of the distribution network repair model, this paper improves the traditional serial schedule generation mechanism to a distribution network repair serial schedule generation mechanism by using improved sa algorithm and hierarchical optimization method to search the optimal solution. Finally, we use the model to an example and analyze it. It is validated that the two schedule generation mechanisms that use nearby repair strategy and ordinary repair strategy are both effective. Both the advantages and disadvantages of two mechanisms, and the feasibility and rationality of the model are analyzed in this paper. (C) 2016 Elsevier Ltd. All rights reserved.

关键词： Large-scale power failures Distribution network rush repair Task scheduling Multi-objective model sa algorithm

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Optimal Location of FACTS Devices Using Adaptive Particle Swarm Optimization Hybrid with Simulated Annealing

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JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY 2010年第2期5卷 179-190页

作者： Ajami, Ali Aghajani, Gh Pourmahmood, M. Azarbaijan Univ Tarbiat Moallem Dept Elect Engn Tehran Iran Tabriz Univ Fac Elect Comp Engn Tabriz Iran

This paper describes a new stochastic heuristic algorithm in engineering problem optimization especially in power system applications. An improved particle swarm. optimization (PSO) called adaptive particle swarm optimization (APSO), mixed with simulated annealing (sa), is introduced and referred to as APSO-sa. This algorithm uses a novel PSO algorithm (APSO) to increase the convergence rate and incorporate the ability of sa to avoid being trapped in a local optimum. The APSO-sa algorithm efficiency is verified using some benchmark functions. This paper presents the application of APSO-sa to find the optimal location, type and size of flexible AC transmission system devices. Two types of FACTS devices, the thyristor controlled series capacitor (TCSC) and the static VAR compensator (SVC), are considered. The main objectives of the presented method are increasing the voltage stability index and over load factor, decreasing the cost of investment and total real power losses in the power system. In this regard, two cases are considered: single-type devices (same type of FACTS devices) and multi-type devices (combination of TCSC, SVC). Using the proposed method, the locations, type and sizes of FACTS devices are obtained to reach the optimal objective function. The APSO-sa is used to solve the above non linear programming optimization problem for better accuracy and fast convergence and its results are compared with results of conventional PSO. The presented method expands the search space, improves performance and accelerates to the speed convergence, in comparison with the conventional PSO algorithm. The optimization results are compared with the standard PSO method. This comparison confirms the efficiency and validity of the proposed method. The proposed approach is examined and tested on IEEE 14 bus systems by MATLAB software. Numerical results demonstrate that the APSO-sa is fast and has a much lower computational cost.

关键词： FACTS devices optimal location PSO algorithm sa algorithm APSO-sa algorithm

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Multiple quasi-phase-matching for enhanced generation of selected high harmonics in aperiodic modulated fibers

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OPTICS EXPRESS 2007年第26期15卷 17985-17990页

作者： Zheng, Li Chen, Xianfeng Tang, Songsong Li, Ruxin Shanghai Jiao Tong Univ Dept Phys State Key Lab Fiber Opt Local Area Commun Network Shanghai 200240 Peoples R China Chinese Acad Sci Shanghai Inst Opt & Fine Mech State Key Lab High Field Laser Phys Shanghai 201800 Peoples R China

A technique for enhanced generation of selected high harmonics in a gas medium, in a high ionization limit, is proposed in this paper. An aperiodically corrugated hollow-core fiber is employed to modulate the intensity of the fundamental laser pulse along the direction of propagation, resulting in multiple quasi-phase-matched high harmonic emissions at the cutoff region. Simulated annealing (sa) algorithm is applied for optimizing the aperiodic hollow-core fiber. Our simulation shows that the yield of selected harmonics is increased equally by up to 2 orders of magnitude compared with no modulation and this permits flexible control of the quasi-phase-matched emission of selected harmonics by appropriate corrugation. (c) 2007 Optical Society of America.

关键词： .high harmonics hollow-core aperiodically sa algorithm fundamental laser quasi-phase-matched quasi-phase-matching selected harmonics no modulation Multiple QPM

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An algorithm for finding efficient test-control block designs with correlated observations

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COMPUTATIONAL STATISTICS 2020年第2期35卷 821-836页

作者： Pooladsa, saeid Doosti-Irani, Mahboobeh Isfahan Univ Technol Dept Math Sci Esfahan *** Iran

The theory of optimal test-control block designs provides guidance on treatments allocation in experimental units. However, it is theoretically difficult to find them;therefore, the availability of an efficient and user-friendly algorithm for finding the optimal designs is essential for both researchers and practitioners. This paper describes an algorithm for constructing efficient test-control incomplete block designs with correlated observations. In order to evaluate the algorithm, we compare our results with the optimal designs presented in some published papers. An advantage of our algorithm is its independency to the size of blocks and the structure of correlation. Also, it takes to run between 30 s and 10 min depending on the type of CPU processor and the design.

关键词： PSO algorithm sa algorithm Atc documentclass[12pt]{minimal} usepackage{amsmath} usepackage{wasysym} usepackage{amsfonts} usepackage{amssymb} usepackage{amsbsy} usepackage{mathrsfs} usepackage{upgreek} setlength{ oddsidemargin}{-69pt} begin{document}$$A_{tc}$$ end{document}-optimal Near-optimal designs Atc documentclass[12pt]{minimal} usepackage{amsmath} usepackage{wasysym} usepackage{amsfonts} usepackage{amssymb} usepackage{amsbsy} usepackage{mathrsfs} usepackage{upgreek} setlength{ oddsidemargin}{-69pt} begin{document}$$A_{tc}$$ end{document}-efficiency

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