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Simulated annealing method

Xem 1-16 trên 16 kết quả Simulated annealing method
  • 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....

    pdf0p cucdai_1 22-10-2012 52 2   Download

  • This study proposed a new hybrid method named S-Anfis, using Simulated Annealing optimization algorithm to maximize performance of regular Anfis. Malaria occurrences and independent variables in Dakong provine, Viet Nam were selected as input database for training and validating the proposed model.

    pdf9p tamynhan4 06-09-2020 7 2   Download

  • In this study, a Cloud Scalable Multi-Objective Cat Swarm Optimization-based Simulated Annealing algorithm is proposed. In the proposed method, the orthogonal Taguchi approach is applied to enhance the SA which is incorporated into the local search of the proposed CSMCSOSA algorithm for scalability performance.

    pdf33p meriday 20-04-2019 12 0   Download

  • 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.

    pdf0p cucdai_1 19-10-2012 40 6   Download

  • 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.

    pdf64p quynho77 13-11-2012 44 5   Download

  • The competition manufacturing companies face has driven the development of novel and efficient methods that enhance the decision making process. In this work, a specific flow shop scheduling problem of practical interest in the industry is presented and formalized using a mathematical programming model.

    pdf16p toritori 11-05-2020 3 0   Download

  • In this paper, the impact of machine failures on production lines in a closed-loop supply chain systems is examined. For this purpose, a new method is proposed for scheduling manufacturing workshops in a supply chain systems.

    pdf24p tocectocec 24-05-2020 2 0   Download

  • In terms of optimization algorithms, Response Surface Method, Genetic Algorithm, and Simulated Annealing are utilized to get global optimum. The optimization objective functions are minimizing weight and maximizing lift/drag. The design variables are aspect ratio, tapper ratio, sweepback angle. The optimization results demonstrate successful and desiable construction of MDO framework.

    pdf14p cothumenhmong8 04-11-2020 5 0   Download

  • 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.

    pdf358p tiramisu0908 25-10-2012 112 5   Download

  • 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.

    pdf13p giamdocamnhac 06-04-2013 54 3   Download

  • Outline: Memory-bounded heuristic search, Hill-climbing search  Simulated annealing search. Some solutions to A* space problems (maintain completeness and optimality). Iterative Deeping version of A*, still admissible.

    pdf16p lalala06 02-12-2015 26 1   Download

  • In this study, we consider a variant of the Bilevel Uncapacitated Facility Location Problem (BLUFLP), in which the clients choose suppliers based on their own preferences. We propose and compare three metaheuristic approaches for solving this problem: Particle Swarm Optimization (PSO), Simulated Annealing (SA), and a combination of Reduced and Basic Variable Neighborhood Search Method (VNS).

    pdf18p vinguyentuongdanh 19-12-2018 11 0   Download

  • Computing the optimal geometric structure of manipulators is one of the most intricate problems in contemporary robot kinematics. Robotic manipulators are designed and built to perform certain predetermined tasks. There is a very close relationship between the structure of the manipulator and its kinematic performance. It is therefore important to incorporate such task requirements during the design and synthesis of the robotic manipulators.

    pdf14p trinhthamhodang1 16-11-2019 8 0   Download

  • 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.

    pdf0p nguyenthai_thinh 16-03-2013 59 17   Download

  • In this paper, we have proposed a new model for designing a Cellular Manufacturing System (CMS) for minimizing the costs regarding a limited number of cells to be formed by assigning workforce.

    pdf14p enzoenzo 29-01-2020 5 0   Download

  • The determination of protein structures satisfying distance constraints is an important problem in structural biology. Whereas the most common method currently employed is simulated annealing, there have been other methods previously proposed in the literature. Most of them, however, are designed to find one solution only.

    pdf15p vikentucky2711 26-11-2020 11 0   Download

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