Simulated annealing

Xem 1-20 trên 21 kết quả Simulated annealing
  • Simulated Annealing is a probabilistic meta-heuristic that is based on statistical mechanics: while at high temperatures molecules in a liquid move freely, the slow reduction of temperature decreases the thermal mobility of the molecules. The final state forms a pure crystal which also corresponds to a state of minimum energy. We encourage readers to explore SA in their work, mainly because it is simple and because it can yield very good results.

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  • Báo cáo khoa học để tài "Thuật toán luyện kim song song (Parallel Simulated Annealing Algorithms) giải quyết bài toán Max sat" được nghiên cứu với các nội dung: Tổng quan thuật toán mô phỏng luyện kim (Simulated Annealing = SA), xây dựng khung thuật toán SA, ứng dụng của thuật toán SA. Để nắm vững hơn nội dung kiến thức bài báo cáo mời các bạn cùng tham khảo tài liệu.

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  • The book contains 15 chapters presenting recent contributions of top researchers working with Simulated Annealing (SA). Although it represents a small sample of the research activity on SA, the book will certainly serve as a valuable tool for researchers interested in getting involved in this multidisciplinary field. In fact, one of the salient features is that the book is highly multidisciplinary in terms of application areas since it assembles experts from the fields of Biology, Telecommunications, Geology, Electronics and Medicine....

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  • This book presents state of the art contributes to Simulated Annealing (SA) that is a well-known probabilistic meta-heuristic. It is used to solve discrete and continuous optimization problems. The significant advantage of SA over other solution methods has made it a practical solution method for solving complex optimization problems. Book is consisted of 13 chapters, classified in single and multiple objectives applications and it provides the reader with the knowledge of SA and several applications.

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  • Tham khảo sách 'thuật toán luyện kim song song (parallel simulated annealing algorithms) giải quyết bài toán max-sat', tài liệu phổ thông, toán học phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

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  • Other than this, automation and optimization of production engineering was attempted in various fields. Okumoto et al. (2005D) optimized the block allocation on the assembly area using simulated annealing method. Wibisono et al. (2007) optimized block division planning using genetic algorithm and product model. Universal Shipbuilding Corporation (2008) developed a high performance NC Printing Machine, which enables fast printing irrespective of the number of characters and lines to be printed.

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  • We propose a two-step inversion of three-component seismograms that ( 1) recovers the far-field source time function at each station and (2) estimates the distribution of co-seismic slip on the fault plane for small earthquakes (magnitude 3 to 4). The empirical Green’s function (EGF) method consists of finding a small earthquake located near the one we wish to study and then performing a deconvolution to remove the path, site, and instrumental effects from the main-event signal.

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  • Simulated annealing has been applied to a wide range of problems: combinatorial and continuous optimizations. This work approaches a new class of problems in which the objective function is discrete but the parameters are continuous. This type of problem arises in rotational irregular packing problems. It is necessary to place multiple items inside a container such that there is no collision between the items, while minimizing the items occupied area. A feedback is proposed to control the next candidate probability distribution, in order to increase the number of accepted solutions.

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  • Local search is a family of general-purpose techniques for search and optimization problems. Chapter 5: Local Search provides about Local search basics; General local search algorithm; Hill-climbing; Tabu search; Simulated Annealing; WSAT; Conclusions

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  • Physical theories allow us to make predictions: given a complete description of a physical system, we can predict the outcome of some measurements. This problem of predicting the result of measurements is called the modelization problem, the simulation problem, or the forward problem. The inverse problem consists of using the actual result of some measurements to infer the values of the parameters that characterize the system. While the forward problemhas (in deterministic physics) a unique solution, the inverse problem does not.

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  • Using NMR spectroscopy and simulated annealing calculations, we deter-mined the solution structure of the disulfide-linked cyclized decapeptide ACLPWSDGPC (SD), which is bound to an anti-(gibberellin A4) mAb 4-B8(8)⁄E9 and was found to be the first peptidyl mimotope for a hydro-phobic ligand. The resulting structure of the peptide showed ab-turn-like conformation in residues three to seven and the region converges well (average rmsd 0.54 A ˚ ).

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  • The growing interest in the application of artificial intelligence (AI) techniques to power system engineering has introduced the potentials of using this state-of-the-art technology. AI techniques, unlike strict mathematical methods, have the apparent ability to adapt to nonlinearities and discontinuities commonly found in power systems. The best-known algorithms in this class include evolution programming, genetic algorithms, simulated annealing, tabu search, and neural networks. In the last three decades many papers on these applications have been published.

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  • Process planning represents the link between engineering design and shop floor manufacturing.

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  • The focus of this chapter is on inverse problems—what they are, where they manifest themselves in the realmof digital signal processing (DSP), and how they might be “solved1.”

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  • Trong bài báo này sẽ trình bày một phương pháp dựa vào thuật giải mô phỏng luyện kim (Simulated annealing) để tối ưu đồng thời các biến kích thước và vị tướng (Topology) của kết cấu dàn phẳng. Bài toán tối ưu vị tướng được phát biểu trong các giới hạn của phương pháp kết cấu nền, hàm mục tiêu được chọn để tối ưu là trọng lượng kết cấu dàn chịu các ràng buộc về ứng suất, chuyển vị và ổn định. ...

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  • Optimization is important in all branches of engineering due to limited resources available. Through optimization, maximum usage of the resource can be achieved. However, global optimization can be difficult due to the requirement of the knowledge of the system behavior under analysis and the possible large solution space. Without this knowledge, the optimization thus obtained may only be a local optimization. Metaheuristic algorithms, on the other hand, are effective in exploring the solution space....

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  • Web search engine: Markov chain theory Data Mining, Machine Learning: Data mining, Machine learning: Stochastic gradient, Markov chain Monte Carlo, Image processing: Markov random fields, Design of wireless communication systems: random matrix theory, Optimization of engineering processes: simulated annealing, genetic algorithms, Finance (option pricing, volatility models): Monte Carlo, dynamic models, Design of atomic bomb (Los Alamos): Markov chain Monte Carlo.

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  • Later, in oder to get a set of parameters represents the time window of brain signals that the process feature extraction is done, because the major changes in brain activity related changes in the amplitude of frequency energy band spectrograms based on FFT is used to vectors have been the original features of the six components (Obermaier et al, 2001) (Proakis & Manolakis, , 1997).

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  • The divalent metal transporter (DMT1) is a 12-transmem-brane domain protein responsible for dietary iron uptake in the duodenum and iron acquisition from transferrin in peripheral tissues. The transmembrane domain 4 (TM4) of DMT1 has been shown to be crucial for its biological function. Here we report the 3D structure and topology of the DMT1-TM4 peptide by NMR spectroscopy with simulated annealing calculations in membrane-mimetic environments, e.g. 2,2,2-trifluoroethanol and SDS micelles.

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  • The solution structure ofNereis diversicolorsarcoplasmic calcium-binding protein (NSCP) in the calcium-bound form was determined by NMR spec-troscopy, distance geometry and simulated annealing. Based on 1859 NOE restraints and 262 angular restraints, 17 structures were generated with a rmsd of 0.87 A ˚ from the mean structure. The solution structure, which is highly similar to the structure obtained by X-ray crystallography, includes two open EF-hand domains, which are in close contact through their hydrophobic surfaces....

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