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Simulated annealing algorithm for the optimisation of an electrical machine

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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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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Simulated Annealing for Constructing Binary Covering Arrays of Variable Strength

Simulated Annealing for Constructing Binary Covering Arrays ...

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2010 IEEE World Congress on Computational Intelligence

作者： Torres-Jimenez, Jose Rodriguez-Tello, Eduardo CINVESTAV Tamaulipas Informat Technol Lab Victoria Tamps 87130 Mexico

ISBN: (纸本)9781424481262

This paper presents new upper bounds for binary covering arrays of variable strength constructed by using a new Simulated Annealing (sa) algorithm. This algorithm incorporates several distinguished features including an efficient heuristic to generate good quality initial solutions, a compound neighborhood function which combines two carefully designed neighborhoods and a fine-tuned cooling schedule. Its performance is investigated through extensive experimentation over well known benchmarks and compared with other state-of-the-art algorithms, showing that the proposed sa algorithm is able to outperform them.

关键词： sa algorithm binary covering array fine-tuned cooling schedule neighborhood function simulated annealing simulated annealing variable strength

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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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Image Compression Based on the Improved sa algorithm

Image Compression Based on the Improved SA Algorithm

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2006年国际电子、工程及科学领域的分布式计算和应用学术研讨会

作者： Yiqian Tang Chengdu University,Chengdu,610106,China Chunli Feng Liaoning Institute of Technology,Jinzhou,121001,China Yue Zhao,Lin Shi Chengdu University,Chengdu,610106,China

Aiming at the techniques of the image compression,we put forward a kind of improved local learning adaptive Silva-Almeida(sa) algorithm on the basis of BP neural *** training process of the new algorithm was divided into the acceleration and steady convergence periods, and we adjusted the learning rate and the momentum factor locally at the same *** the experiment of the curve fitting,the improved sa algorithm quickened the training speed,raised precision distinctly,and resisted the oscillation in a large *** the test of the image compression, compared with the resilient propagation(RPROP) method, the new algorithm's training speed and the quality of the reconstruction images were enhanced very greatly,and we acquired a higher ratio of image *** the improved sa algorithm is more effective to the image compression.

关键词： sa algorithm image compression BP networks resilient propagation neural networks

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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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Optimization of spot pattern in indoor diffuse optical wireless local area networks

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OPTICS EXPRESS 2005年第8期13卷 3000-3014页

作者： Wong, DWK Chen, GCK Yao, JP Nanyang Technol Univ Photon Res Ctr Sch Elect & Elect Engn Singapore 639798 Singapore Univ Ottawa Sch Informat Technol & Engn Ottawa ON K1N 6N5 Canada

In this paper, a simulated annealing ( sa) algorithm is proposed to be used in the optimization of the spot pattern for the indoor diffuse optical wireless network application. The channel response is analyzed using conventional grid-based patterns and a field of view ( FOV) of 30 degrees is found to give a good performance balance in the uniformity of the received power distribution and multipath dispersion. Using the algorithm to determine the spot pattern for the minimum standard deviation of the received power, an improvement of more than 85% is realized. To optimize the spot pattern at 30 degrees FOV, a merit function is incorporated into the algorithm for two parameters, and the sa algorithm is run to obtain optimized spot patterns for both a 4.5m and 6m extent of the spot pattern. Various weights are used, and a performance improvement of 39% and 78% is observed for the 4.5m and 6m spot pattern sizes respectively which shows that the approach can be used to effectively optimize the spot pattern in the indoor optical wireless application. (C) 2005 Optical Society of America.

关键词： .various FOV annealing obtain determine multipath standard deviation simulated diffuse Power Distribution extent optimize merit sa algorithm Optimization of spot optical wireless grid-based spot patterns

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Inter-domain routing based on simulated annealing algorithm in optical mesh networks

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OPTICS EXPRESS 2004年第14期12卷 3095-3107页

作者： Wang, L Zhang, HY Zheng, XP Tsing Hua Univ Dept Elect Engn Beijing 100084 Peoples R China

For the first time a real-time and distributed routing algorithm based on Simulated Annealing ( sa) algorithm is proposed to promote the intelligence, survivability, and interworking in optical mesh networks. Further, a sa-based Two-steps Optimization Routing algorithm (saTORA) is proposed to obtain the inter-domain routing of global optimization. Compared with the previous approaches, this sa-based routing algorithm can achieve the routing optimization under multiconstraint condition, and can acquire the working and backup paths at one time for network survivability as well. Two crucial factors, the path hop count and the network congestion degree, are considered evaluating the cost of the path. Simulation experiments on different networks indicate that the saTORA can reduce the congestion degree of the networks and enhance the blocking performance of routing calculation for traffic requests when the inter-domain path protection is required. (C) 2004 Optical Society of America.

关键词： .network congestion hop blocking count simulated annealing backup sa algorithm INTER-DOMAIN Mesh networks saTORA sa-based routing algorithm routing optimization routing calculation

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