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A methodology for the synthetic generation of hourly wind speed time series based on some known aggregate input data

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APPLIED ENERGY 2013年 101卷 541-550页

作者： Carapellucci, Roberto Giordano, Lorena Univ Aquila Dipartimento Ingn Meccan Energet & Gest I-67100 Laquila Italy

The availability of hourly wind speed data is becoming increasingly important for ensuring the proper design of wind energy conversion systems. For many sites, measured series of such high resolution are incomplete or entirely lacking;hence the need for a model for synthesizing wind speed data. The objective of this paper is to construct a model for synthetically generating hourly wind speed data, adopting a physical-statistical approach. This generation model defines four parameters for characterizing the wind speed time series in terms of probability distribution and autocorrelation functions. As opposed to the numerous methodologies reported in literature, the proposed approach can be adapted to a different number and type of available input data. Model validation has been carried out by examining two Italian sites, having different characteristics in terms of mean monthly wind speeds and autocorrelation function. To demonstrate its flexibility, in both sites wind speed time series have been synthesized for three different cases, increasing the amount of known input data. (c) 2012 Elsevier Ltd. All rights reserved.

关键词： Wind speed Synthetic data generation Diurnal pattern optimization algorithm Autocorrelation function

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A heuristic approach for the positioning of elevator hoistways based on the utilization intensity index

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ARCHITECTURAL ENGINEERING AND DESIGN MANAGEMENT 2013年第4期9卷 209-228页

作者： Markos, P. A. Dentsoras, A. J. Univ Patras Mach Design Lab Dept Mech Engn & Aeronaut Patras 26500 Greece

In modern buildings, the position(s) of elevator system(s) tends to be a crucial factor for the unimpeded vertical and on-floor circulation of their residents. The present paper introduces a method that correlates circulation data for the population of a typical office building (size, density and possibility for elevator use) with structural and architectural data of each one of its floors (net usable space, circulation space, structural intrusions, etc.). The method provides an optimum position for the elevator system hoistway(s) so that all walking distances on all floors between the elevator system and usable spaces are as small as possible. Every single floor of the building is partitioned into cells that form a grid covering its surface. An index of the intensity of elevator utilization (EUII) is introduced, defined as a function of the data mentioned above. Then, Euclidean norms, based on (EUII) values, provide weighted mean distances for locating the point on the vertical projection of the building that corresponds to the minimal mean distance from every cell of its usable spaces. A case study of a typical office building served by a single elevator system exemplifies the proposed approach, initially for a single floor and then for all the floors of the building.

关键词： architectural design elevator design optimization algorithm building circulation

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Ana* optimization algorithm in Shaped-Beam Antenna Arrays

An Optimization Algorithm in Shaped-Beam Antenna Arrays

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2009 2nd Asian-Pacific Conference on Synthetic Aperture Radar（APSAR2009）

作者： Xiao-Lian Mao Hui-Li Zheng Xiao-Huan Fan National Key Laboratory of Antennas and Microwave Technology Xidian University Xi’an Shaanxi 71007 People’s Republic of China

In this paper,a novel method for the synthesis of shaped-beam antenna arrays by combining matrix resolution with particle swarm optimization（PSO）algorithm is *** amplitude and phase distribution of the antenna array are achieved firstly by matrix resolution,and then the results are used as the initial values of PSO algorithm in the following optimization to obtain a wide angle shaped-beam radiation *** examples,an 18-element antenna array and a 24-element antenna array are *** results show that thea* optimization algorithm can improve the shaped-beam precision and it is an effective method for solving the wide angle shaped-beam problem when the element number of the antenna array is small.

关键词： optimization algorithm particle swarm optimization antenna array shaped-beam

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Comparison ofa* optimization algorithms for adaptive optics system without a wavefront sensor

Comparison of optimization algorithms for adaptive optics sy...

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6th International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT) - Large Mirrors and Telescopes

作者： Liu, Ying Ma, Jianqiang Li, Baoqing Hu, Yanlei Chu, Jiaru Univ Sci & Technol China Dept Precis Machinery & Precis Instrumentat Hefei 230027 Anhui Peoples R China

ISBN: (纸本)9780819490971

The adaptive optics system (AO) without a wavefront sensor produces an alternative tool to correct the aberrations where the wavefront distortions are hard to be measured directly. This kind of adaptive optics system optimizes an evaluation parameter directly relevant to the wavefront quality to achieve the wavefront correction, and thea* optimization algorithms determines the efficiency of wavefront sensor-less AO system. In this paper, several frequently-used algorithms covering hill climbing algorithm, genetic algorithm, simulated annealing algorithm and two hybrid algorithms, known as hybrid genetic-hill climbing algorithm and hybrid simulated annealing-hill climbing algorithm (SAHC), have been investigated to improve the correction efficiency. The correction speeds and correction effects of the five kinds of algorithms have been compared in simulations and experiments for an adaptive optics system with 19-elements unimorph deformable mirror. The results show that hill climbing algorithm has the fastest correction speed, but suffered from the local optimum problem. The other four kinds of algorithms can get good correction results and have similar correction effects. Considering the correction effect and correction speed comprehensively, SAHC is the most efficienta* optimization algorithm in the five kinds ofa* optimization algorithms.

关键词： Adaptive optics system correction efficiency optimization algorithm deformable mirror

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Design on The Real-time Online Automatic Measurement System for Body-in-White Based on Industrial Robots

Design on The Real-time Online Automatic Measurement System ...

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4th International Conference on Manufacturing Science and Engineering (ICMSE 2013)

作者： Zhou, Hu Jiang, Xuechao Sun, Yanqiu Beijing Aerosp Automat Control Inst Beijing Peoples R China

ISBN: (纸本)9783037856932

Industrial robots are introduced into quality control process for automobile welding detecting. The online automatic measurement system for body-in-white based on industrial robots is established firstly, and then coordinate transformation matrix is calculated witha* optimization algorithm and curve fitting method, the results measured by the system are analyzed at last. Compared with CMM, the system has the simular measurement precision but higher efficiency and automation.

关键词： industrial robots automation measurement transformation matrix optimization algorithm

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Study on the algorithm of distribution network planning containing distributed power

Study on the algorithm of distribution network planning cont...

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International Conference on Advances in Energy and Environmental Science (ICAEES)

作者： Huang, Yuehua Li, Honggang Peng, Na Liu, Na Sun, Minghao Three Gorges Univ Coll Elect & New Energy Yichang 443002 Hubei Peoples R China

ISBN: (纸本)9783037858615

Access distributed power will take great influence to distribution network's safe and economic operation. This paper established a distribution network planning economic model and analyzed the advantages and disadvantages of various planning algorithms, and propose an adaptive parallel genetic algorithm. This algorithm can overcome premature phenomenon of standard genetic algorithm, and the ability is better to seek the global optimal solution.

关键词： Distributed power Distribution network planning model optimization algorithm Adaptive parallel genetic algorithm

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Computational optimization, Modelling and Simulation: Recent Trends and Challenges

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Procedia Computer Science 2013年 18卷 855-860页

作者： Xin-She Yang Slawomir Koziel Leifur Leifsson School of Science and Technology Middlesex University London NW4 4BT United Kingdom Engineering Optimization and Modeling Center School of Science and Engineering Reykjavik University 101 Reykjavik Iceland

Modelling, simulation and optimization form an integrated part of modern design practice in engineering and industry. Tremendous progress has been observed for all three components over the last few decades. However, many challenging issues remain unresolved, and the current trends tend to use nature-inspired algorithms and surrogate-based techniques for modelling and optimization. This 4th workshop on Computational optimization, Modelling and Simulation (COMS 2013) at ICCS 2013 will further summarize the latest developments of optimization and modelling and their applications in science, engineering and industry. In this review paper, we will analyse the recent trends in modelling and optimization, and their associated challenges. We will discuss important topics for further research, including parameter-tuning, large-scale problems, and the gaps between theory and applications.

关键词： algorithm black-box modelling computational optimization optimization algorithm modelling metaheursitics nonlinear optimization stochastic optimization surragate-based optimization simulation

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optimization algorithm based on Artificial Life algorithm and Particle Swarm optimization

Optimization Algorithm based on Artificial Life Algorithm an...

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2nd International Conference on Information and Computing Science

作者： Gu, Yun-li Xu, Xin Du, Jie Qian, Huan-yan Nanjing Univ Informat Sci & Technol Inst Comp & Software Nanjing 210044 Peoples R China Nanjing Univ Sci & Technol Sch Comp Sci & Technol Nanjing 210094 Peoples R China

ISBN: (纸本)9780769536347

Ana* optimization algorithm based on artificial life algorithm and particle swarm optimization (PSO) is proposed. The optimization includes two stages. In the first stage, artificial life system is created. As artificial life organisms have a sensing system, they can find the resource they want and metabolize it. The micro-interaction with each other in the artificial life's group results in emergent colonization in the whole system. The emergent colonization of artificial life system is used to provide an excellent initial position for PSO, and PSO is further used to rind the optimal solution in the second stage. Compared with ordinary artificial life based optimization approach and ordinary PSO approach by simulation, in the newly designed method, the performances of searching speed and optimization solution accuracy are improved.

关键词： artificial life particle swarm optimization optimization algorithm emergent colonization

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Layout Design-Based Research on optimization and Assessment Method for Shipbuilding Workshop

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Journal of Marine Science and Application 2013年第2期12卷 152-162页

作者： Yang Liu Mei Meng Shuang Liu College of Shipbuilding Engineering Harbin Engineering University Harbin China COSCO(Dalian)Shipyard Co. Ltd.

The research study proposes to examine a three-dimensional visualization program, emphasizing on improving genetic algorithms through the optimization of a layout design-based standard and discrete shipbuilding workshop. By utilizing a steel processing workshop as an example, the principle of minimum logistic costs will be implemented to obtain an ideological equipment layout, and a mathematical model. The objectiveness is to minimize the total necessary distance traveled between machines. An improved control operator is implemented to improve the iterative efficiency of the genetic algorithm, and yield relevant parameters. The Computer Aided Tri-Dimensional Interface Application （CATIA） software is applied to establish the manufacturing resource base and parametric model of the steel processing workshop. Based on the results of optimized planar logistics, a visual parametric model of the steel processing workshop is constructed, and qualitative and quantitative adjustments then are applied to the model. The method for evaluating the results of the layout is subsequently established through the utilization of AHP. In order to provide a mode of reference to the optimization and layout of the digitalized production workshop, the optimized discrete production workshop will possess a certain level of practical significance.

关键词： visual parametric model steel processing workshop layout optimization design improved genetic algorithm assessment methods optimization algorithm shipbuilding workshop

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A Novel Self-Adaptation Hybrid Artificial Fish-Swarm algorithm

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IFAC Proceedings Volumes 2013年第5期46卷 583-588页

作者： X.T. Hu H.Q. Zhang Z.C. Li Y.A. Huang Z.P. Yin No.38 Research Institute of CETC Hefei 230088 China (Tel: 86-0551-5391771) State Key Laboratory of Digital Manufacturing Equipment and Technology Wuhan 430074 China

In this paper, the social behaviors of fish swarm were classified in four ways: foraging behavior, stray behavior, reproductive behavior, and escaping behavior. Inspired by this, a novel artificial fish swarm algorithm (NAFSA) was proposed, which integrated the merits of the self-adaptation strategy, mutation strategy and hybrid strategy into the social behaviors of fish swarm. In the case of mutation strategy, the cloud theory was introduced into the escaping behavior, and the basic cloud generator was used as the mutation operator because of the properties of randomness and stable tendency of a normal cloud model. For the hybrid strategy, the selection, crossover and mutation operator in evolutionary algorithm were applied to define the reproductive ability of an artificial fish. Furthermore, the parameters of Step and Visual were developed in forms of hyperbolic tangent function to adjust the optimize performance dynamically during iterations process. Finally, ten standard test functions are used as the benchmark to validate the effectiveness of the NAFSA. Experimental results confirmed the superiority of NAFSA in terms of both solution quality and convergence speed.

关键词： optimization algorithm artificial fish-swarm algorithm cloud model evolutionary algorithm

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