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Journal articles on the topic 'Multi-start method'

Author: Grafiati

Published: 4 June 2021

Last updated: 10 February 2022

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1

Dong, Huachao, Baowei Song, Zuomin Dong, and Peng Wang. "Multi-start Space Reduction (MSSR) surrogate-based global optimization method." Structural and Multidisciplinary Optimization 54, no. 4 (2016): 907–26. http://dx.doi.org/10.1007/s00158-016-1450-1.

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Kostenko, V. A. "Multi-Start Method with Cutting for Solving Problems of Unconditional Optimization." Optical Memory and Neural Networks 29, no. 1 (2020): 30–36. http://dx.doi.org/10.3103/s1060992x20010099.

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Shirakawa, Masakazu, and Masao Arakawa. "Multi-objective Evaluation Method for Combined Cycle Power Plant Start-up." IFAC-PapersOnLine 51, no. 28 (2018): 19–24. http://dx.doi.org/10.1016/j.ifacol.2018.11.671.

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Shirakawa, Masakazu, and Masao Arakawa. "Multi-objective evaluation method for combined cycle power plant start-up." IFAC Journal of Systems and Control 13 (September 2020): 100101. http://dx.doi.org/10.1016/j.ifacsc.2020.100101.

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Huang, M., C. J. Aine, S. Supek, E. Best, D. Ranken, and E. R. Flynn. "Multi-start downhill simplex method for spatio-temporal source localization in magnetoencephalography." Electroencephalography and Clinical Neurophysiology/Evoked Potentials Section 108, no. 1 (1998): 32–44. http://dx.doi.org/10.1016/s0168-5597(97)00091-9.

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Pál, László, Tibor Csendes, Mihály Csaba Markót, and Arnold Neumaier. "Black Box Optimization Benchmarking of the GLOBAL Method." Evolutionary Computation 20, no. 4 (2012): 609–39. http://dx.doi.org/10.1162/evco_a_00089.

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GLOBAL is a multi-start type stochastic method for bound constrained global optimization problems. Its goal is to find the best local minima that are potentially global. For this reason it involves a combination of sampling, clustering, and local search. The role of clustering is to reduce the number of local searches by forming groups of points around the local minimizers from a uniformly sampled domain and to start few local searches in each of those groups. We evaluate the performance of the GLOBAL algorithm on the BBOB 2009 noiseless testbed, containing problems which reflect the typical d

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James, Tabitha, and Cesar Rego. "Path Relinking with Multi-Start Tabu Search for the Quadratic Assignment Problem." International Journal of Swarm Intelligence Research 2, no. 2 (2011): 52–70. http://dx.doi.org/10.4018/jsir.2011040104.

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This paper introduces a new path relinking algorithm for the well-known quadratic assignment problem (QAP) in combinatorial optimization. The QAP has attracted considerable attention in research because of its complexity and its applicability to many domains. The algorithm presented in this study employs path relinking as a solution combination method incorporating a multistart tabu search algorithm as an improvement method. The resulting algorithm has interesting similarities and contrasts with particle swarm optimization methods. Computational testing indicates that this algorithm produces r

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Xu, Yang, Lei Zhu, Zhiyong Cheng, Jingjing Li, and Jiande Sun. "Multi-Feature Discrete Collaborative Filtering for Fast Cold-Start Recommendation." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 01 (2020): 270–78. http://dx.doi.org/10.1609/aaai.v34i01.5360.

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Hashing is an effective technique to address the large-scale recommendation problem, due to its high computation and storage efficiency on calculating the user preferences on items. However, existing hashing-based recommendation methods still suffer from two important problems: 1) Their recommendation process mainly relies on the user-item interactions and single specific content feature. When the interaction history or the content feature is unavailable (the cold-start problem), their performance will be seriously deteriorated. 2) Existing methods learn the hash codes with relaxed optimizatio

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YU Fei, 于飞, 林喆 LIN Zhe, 赵跃进 ZHAO Yuejin, 董立泉 DONG Liquan, and 康晓军 KANG Xiaojun. "A fast motion estimation searching method based onthe multi-start and concurrent algorithm." Optical Technique 40, no. 2 (2014): 140–44. http://dx.doi.org/10.3788/gxjs20144002.0140.

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OKUDA, Osamu. "A Mesh Partitioning based on Multi-start Method for Parallel Finite Element Analysis." Proceedings of The Computational Mechanics Conference 2003.16 (2003): 753–54. http://dx.doi.org/10.1299/jsmecmd.2003.16.753.

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Rice, Luke M., Yousif Shamoo, and Axel T. Brünger. "Phase Improvement by Multi-Start Simulated Annealing Refinement and Structure-Factor Averaging." Journal of Applied Crystallography 31, no. 5 (1998): 798–805. http://dx.doi.org/10.1107/s0021889898006645.

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Macromolecular crystallography increasingly pushes the limits of the size and complexity of the molecules and assemblies under study. Conformational variability in these assemblies frequently results in limited diffraction or in poorer phase information than that typically obtained from smaller macromolecules. Current methods for solving and refining crystal structures often perform poorly under these adverse conditions and thus new methods must be developed. Atomic-model refinement is particularly sensitive to the low information content of limited diffraction data. Here a multi-start procedu

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Araújo, Olinto César Bassi de, and Vinícius Amaral Armentano. "A multi-start random constructive heuristic for the container loading problem." Pesquisa Operacional 27, no. 2 (2007): 311–31. http://dx.doi.org/10.1590/s0101-74382007000200007.

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This paper deals with the container loading problem which involves the selection of a subset of boxes, each box with a given volume, such that they fit in a single container and maximize its volume utilization subject to orientation and stability constraints. We propose a multi-start random constructive heuristic with a load arrangement that is based on maximal cuboids that fit in given empty spaces. Each instance is adaptively evaluated by a set of criteria, and at each step of the construction process one maximal cuboid is chosen probabilistically from a restricted list of candidates. In ord

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Jiang, Ping, and Qiwei Chen. "An Optimal Source-Load Coordinated Restoration Method Considering Double Uncertainty." Energies 11, no. 3 (2018): 558. http://dx.doi.org/10.3390/en11030558.

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The security of power system restoration is severely affected by uncertain factors, especially the start-up time of generating unit and the amount of load pick-up. Solving the optimization restoration problem is challenging since it needs to determine different priorities in which units and loads are restored with the consideration of double uncertainty. Therefore, an optimal source-load coordinated restoration method that is based on information gap decision theory (IGDT) is proposed. Firstly, the time-domain restoration characteristics of black-start unit (BSU), non-black-start unit (NBSU),

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He, Deniu, Hong Yu, Guoyin Wang, and Jie Li. "A two-stage clustering-based cold-start method for active learning." Intelligent Data Analysis 25, no. 5 (2021): 1169–85. http://dx.doi.org/10.3233/ida-205393.

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The problem of initialization of active learning is considered in this paper. Especially, this paper studies the problem in an imbalanced data scenario, which is called as class-imbalance active learning cold-start. The novel method is two-stage clustering-based active learning cold-start (ALCS). In the first stage, to separate the instances of minority class from that of majority class, a multi-center clustering is constructed based on a new inter-cluster tightness measure, thus the data is grouped into multiple clusters. Then, in the second stage, the initial training instances are selected

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Deng, Yi, Xiaoxi Zhang, and Qi Long. "Bayesian modeling and prediction of accrual in multi-regional clinical trials." Statistical Methods in Medical Research 26, no. 2 (2014): 752–65. http://dx.doi.org/10.1177/0962280214557581.

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In multi-regional trials, the underlying overall and region-specific accrual rates often do not hold constant over time and different regions could have different start-up times, which combined with initial jump in accrual within each region often leads to a discontinuous overall accrual rate, and these issues associated with multi-regional trials have not been adequately investigated. In this paper, we clarify the implication of the multi-regional nature on modeling and prediction of accrual in clinical trials and investigate a Bayesian approach for accrual modeling and prediction, which mode

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Khalili-Damghani, Kaveh, Majid Nojavan, and Madjid Tavana. "Solving fuzzy Multidimensional Multiple-Choice Knapsack Problems: The multi-start Partial Bound Enumeration method versus the efficient epsilon-constraint method." Applied Soft Computing 13, no. 4 (2013): 1627–38. http://dx.doi.org/10.1016/j.asoc.2013.01.014.

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He, Gang, Takashi Iijima, and H. Funakubo. "New preparation process of Pb(ZrxTi1−x)O3 thin films from PbZrO3 and PbTiO3 multilayers." Journal of Materials Research 17, no. 9 (2002): 2217–26. http://dx.doi.org/10.1557/jmr.2002.0327.

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This work presents the preliminary experimental results of Pb(ZrxTi1−x)O3 (PZT) thin films preparation to develop a new combinatorial process by chemical solution deposition (CSD) method. PZT thin films were fabricated from the PbZrO3 (PZ) and PbTiO3 (PT) multilayers on a substrate of Si/SiO2/Ti/Pt. The precursor PT and PZ solutions were coated in different sequences, (i) in the PT start sequence and (ii) in the PZ start sequence, and with different PT and PZ concentrations. It was found that the deposition sequence of PT and PZ led to the differences in composition, microstructure, texture, a

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Jin, Rencheng, Xiaolei Fan, and Ting Sun. "Centralized Multi-Hop Routing Based on Multi-Start Minimum Spanning Forest Algorithm in the Wireless Sensor Networks." Sensors 21, no. 5 (2021): 1775. http://dx.doi.org/10.3390/s21051775.

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Wireless sensor networks (WSNs) are widely applied in environmental monitoring, target tracking, military, and industrial fields. However, the battery energy of sensor nodes in WSNs is limited, which limits its development. Previous studies have shown that clustering protocols and multi-hop communication are beneficial to reduce nodes energy consumption. The multi-hop protocol based on low energy adaptive clustering hierarchy (LEACH) has been proven to significantly reduce energy dissipation. However, LEACH-based multi-hop protocols generally have the problem of unbalanced energy dissipation a

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Li, Ying Zi, Shuo Zhang, Xiao Dong Zhang, and Le Luo. "Multi-Mode Resource-Constrained Scheduling for Complex Product Design Tasks." Advanced Materials Research 129-131 (August 2010): 566–71. http://dx.doi.org/10.4028/www.scientific.net/amr.129-131.566.

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In order to obtain the optimal scheduling plan which includes the reasonable task start time and resource allocation for complex product design project, a multi-mode resource-constrained scheduling method for complex product design tasks was proposed. In the method, human resource was separated out from the technology resource aiming at characteristics of product design process. The mathematics model was built based on the idea of multi-mode resource-constrained scheduling problem. To solve the model, designer-task-resource matching degree matrix was calculated and genetic algorithm was used.

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Hsu, Chang-Ling. "A multi-valued and sequential-labeled decision tree method for recommending sequential patterns in cold-start situations." Applied Intelligence 51, no. 1 (2020): 506–26. http://dx.doi.org/10.1007/s10489-020-01806-0.

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Zeng, Qiang, Menghua Wang, Ling Shen, and Hongna Song. "Sequential Scheduling Method for FJSP with Multi-Objective under Mixed Work Calendars." Processes 7, no. 12 (2019): 888. http://dx.doi.org/10.3390/pr7120888.

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A sequential scheduling method for multi-objective, flexible job-shop scheduling problem (FJSP) work calendars is proposed. Firstly, the sequential scheduling problem for the multi-objective FJSP under mixed work calendars was described. Secondly, two key technologies to solve such a problem were proposed: one was a time-reckoning technology based on the machine’s work calendar, the other was a sequential scheduling technology. Then, a non-dominated sorting genetic algorithm with an elite strategy (NSGA-II) was designed to solve the problem. In the algorithm, a two-segment encoding method was

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Sharma, Roshan, and Bjørn Glemmestad. "On Generalized Reduced Gradient method with multi-start and self-optimizing control structure for gas lift allocation optimization." Journal of Process Control 23, no. 8 (2013): 1129–40. http://dx.doi.org/10.1016/j.jprocont.2013.07.001.

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Dong, Chao, Dan Meng, Yan Lin He, Shi Yu Fu, and Lin Li. "Modeling of Non-Isothermal Ferrite Transformation in Fe-C-Mn-Si Alloys." Advanced Materials Research 1120-1121 (July 2015): 1040–47. http://dx.doi.org/10.4028/www.scientific.net/amr.1120-1121.1040.

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Based on Pham’s model, the non-isothermal ferrite transformation start temperature and time of Fe-C-Mn-Si alloys were deduced. The parameters of expression were predicted combined with experimental results. The relationship between ferrite transformation parameters Q , C and composition of Fe-C-Mn-Si alloys was obtained. Then the ferrite transformation start curve of Fe-C-Mn-Si alloys can be accurately predicted by the computational method, which can be extended to more complex multi-component alloy systems.

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Wahyuni, Ias Sri, and Rachid Sabre. "Neighbour Local Variability for Multi-Focus Images Fusion." Signal & Image Processing : An International Journal 11, no. 6 (2020): 37–51. http://dx.doi.org/10.5121/sipij.2020.11603.

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The goal of multi-focus image fusion is to integrate images with different focus objects in order to obtain a single image with all focus objects. In this paper, we give a new method based on neighbour local variability (NLV) to fuse multi-focus images. At each pixel, the method uses the local variability calculated from the quadratic difference between the value of the pixel and the value of all pixels in its neighbourhood. It expresses the behaviour of the pixel with respect to its neighbours. The variability preserves the edge function because it detects the sharp intensity of the image. Th

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Mahmood, Farrukh, and Saud Ahmed Khan. "Multi-modality in the Likelihood Function of GARCH Model." Review of Pacific Basin Financial Markets and Policies 23, no. 03 (2020): 2050018. http://dx.doi.org/10.1142/s0219091520500186.

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It is shown empirically that likelihood function of the GARCH is multi-modal. Hence, the maximum likelihood estimates at local and global maxima will be quantitatively different. Therefore, it is important to start an estimation method with consistent starting value that converge to global maxima. This study compares two estimation methods, BFGS and DE, on the basis of simulation and surface constructed by changing the value of GARCH [Formula: see text] model. DE is superior and consistent throughout the surface, and across distributions. PSX is used as real-world application and it has been f

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MATSUKIDAIRA, JUNTA, and KATSUHIRO NISHINARI. "EULER–LAGRANGE CORRESPONDENCE OF GENERALIZED BURGERS CELLULAR AUTOMATON." International Journal of Modern Physics C 15, no. 04 (2004): 507–15. http://dx.doi.org/10.1142/s0129183104005917.

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Recently, we have proposed a Euler–Lagrange transformation for cellular automata (CA) by developing new transformation formulas. Applying this method to the Burgers CA (BCA), we have succeeded in obtaining the Lagrange representation of the BCA. In this paper, we apply this method to multi-value generalized Burgers CA (GBCA) which include the Fukui–Ishibashi model and the quick-start model associated with traffic flow. As a result, we have succeeded in clarifying the Euler–Lagrange correspondence of these models. It turns out moreover that the GBCA can naturally be considered as a simple model

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Escandón, Juan, David Torres, Clara Hernández, and René Vargas. "Start-Up Electroosmotic Flow of Multi-Layer Immiscible Maxwell Fluids in a Slit Microchannel." Micromachines 11, no. 8 (2020): 757. http://dx.doi.org/10.3390/mi11080757.

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In this investigation, the transient electroosmotic flow of multi-layer immiscible viscoelastic fluids in a slit microchannel is studied. Through an appropriate combination of the momentum equation with the rheological model for Maxwell fluids, an hyperbolic partial differential equation is obtained and semi-analytically solved by using the Laplace transform method to describe the velocity field. In the solution process, different electrostatic conditions and electro-viscous stresses have to be considered in the liquid-liquid interfaces due to the transported fluids content buffer solutions ba

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Zhu, Guo Qing, Li Yang, and Gang Cheng. "Dynamic Optimization of Ship Boiler Startup Based on Modelica and JModelica.org." Applied Mechanics and Materials 662 (October 2014): 191–95. http://dx.doi.org/10.4028/www.scientific.net/amm.662.191.

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Apply optimization method to reduce the startup time can improve the maneuverability of vessel and reduce the operation cost of the unit. In this paper, a boiler system model was developed to capture system dynamic and the variety of stress based on the multi-domain modeling language Modelica, then the optimization model was built taking minimize the start-up time as optimization targets, constrained on the thermal and mechanical stress. The optimization process was performed on the platform of JModelica.org, exploiting the direct collocation method. Fuel quantity curve of the start up phase w

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George, Andrew W., Arunas Verbyla, and Joshua Bowden. "Eagle: multi-locus association mapping on a genome-wide scale made routine." Bioinformatics 36, no. 5 (2019): 1509–16. http://dx.doi.org/10.1093/bioinformatics/btz759.

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Abstract Motivation We present Eagle, a new method for multi-locus association mapping. The motivation for developing Eagle was to make multi-locus association mapping ‘easy’ and the method-of-choice. Eagle’s strengths are that it (i) is considerably more powerful than single-locus association mapping, (ii) does not suffer from multiple testing issues, (iii) gives results that are immediately interpretable and (iv) has a computational footprint comparable to single-locus association mapping. Results By conducting a large simulation study, we will show that Eagle finds true and avoids false sin

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Mota, Renata de Oliveira, Moacir Godinho Filho, Lauro Osiro, Gilberto Miller Devós Ganga, and Glauco Henrique de Sousa Mendes. "Unveiling the relationship between drivers and capabilities for reduced time-to-market in start-ups: A multi-method approach." International Journal of Production Economics 233 (March 2021): 108018. http://dx.doi.org/10.1016/j.ijpe.2020.108018.

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Maschio, Célio, and Denis José Schiozer. "Integration of geostatistical realizations in data assimilation and reduction of uncertainty process using genetic algorithm combined with multi-start simulated annealing." Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles 74 (2019): 73. http://dx.doi.org/10.2516/ogst/2019045.

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This paper introduces a new methodology, combining a Genetic Algorithm (GA) with multi-start simulated annealing to integrate Geostatistical Realizations (GR) in data assimilation and uncertainty reduction process. The proposed approach, named Genetic Algorithm with Multi-Start Simulated Annealing (GAMSSA), comprises two parts. The first part consists of running a GA several times, starting with certain number of geostatistical realizations, and the second part consists of running the Multi-Start Simulated Annealing with Geostatistical Realizations (MSSAGR). After each execution of GA, the bes

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Aljoufi, Reem, and Aboubaker Lasebae. "Multi-task Learning for Intrusion Detection and Analysis of Computer Network Traffic." E3S Web of Conferences 229 (2021): 01057. http://dx.doi.org/10.1051/e3sconf/202122901057.

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Accurate identification of malicious computer network traffic is a challenging task for a number of reasons. This is especially highlighted when a new type of attack is launched because the amount of available data that belongs to this attack can be scarce. Having small amounts of such data makes understanding the behaviour of traffic and building models to accurately discover it more difficult. In this paper we present a novel classification method based on multi-task learning for the accurate identification of malicious network traffic even when little amount of training data is available. W

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Kamulegeya, Grace, Raymond Mugwanya, and Regina Hebig. "Measurements in the Early Stage Software Start-ups: A Multiple Case Study in a Nascent Ecosystem." Foundations of Computing and Decision Sciences 43, no. 4 (2018): 251–80. http://dx.doi.org/10.1515/fcds-2018-0014.

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Abstract Context: Software measurement is crucial to stay competitive and deliver quality software products. Problem: While much research has been done on measurement in large companies in developed countries, there is limited research on measurement in start-ups. So far there are no studies on whether these results apply to nascent ecosystems, such as those in East Africa. Goal: The aim of this study is to understand the use and perceived benefits of measurement in software start-ups in East Africa. Method: We performed a multi-case study on 19 software start-ups in hubs in Uganda and Kenya,

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Jiang, Wei, Ke Song, Bailin Zheng, Yongchuan Xu, and Ruoshi Fang. "Study on Fast Cold Start-Up Method of Proton Exchange Membrane Fuel Cell Based on Electric Heating Technology." Energies 13, no. 17 (2020): 4456. http://dx.doi.org/10.3390/en13174456.

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In order to realize the low temperature and rapid cold start-up of a proton exchange membrane fuel cell stack, a dynamic model containing 40 single proton exchange membrane fuel cells is established to estimate the melting time of the proton exchange membrane fuel cell stack as well as to analyze the melting process of the ice by using the obtained liquid–solid boundary. The methods of proton exchange membrane electric heating and electrothermal film heating are utilized to achieve cold start-up of the proton exchange membrane fuel cell (PEMFC). The fluid simulation software fluent is used to

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Nguyen, Bach. "Is a bit more experience bad? The role of entrepreneurial experience on investment rate." International Journal of Entrepreneurial Behavior & Research 25, no. 6 (2019): 1166–87. http://dx.doi.org/10.1108/ijebr-06-2018-0375.

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Purpose This study investigates the influence of entrepreneurial experience on small business investment. The purpose of this paper is to examine whether entrepreneurs with more prior start-up experience are better able to identify business opportunities and successfully transform these opportunities into investment projects. Design/methodology/approach The empirical setting in this study is Vietnam. The authors employ a panel data of small businesses (mostly households) from 2005 to 2013, and use a fixed effect method to estimate the regression coefficients. The results are also re-checked us

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Th. Gries, Stefan. "The most under-used statistical method in corpus linguistics: multi-level (and mixed-effects) models." Corpora 10, no. 1 (2015): 95–125. http://dx.doi.org/10.3366/cor.2015.0068.

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Much statistical analysis of psycholinguistic data is now being done with so-called mixed-effects regression models. This development was spearheaded by a few highly influential introductory articles that (i) showed how these regression models are superior to what was the previous gold standard and, perhaps even more importantly, (ii) showed how these models are used practically. Corpus linguistics can benefit from mixed-effects/multi-level models for the same reason that psycholinguistics can – because, for example, speaker-specific and lexically specific idiosyncrasies can be accounted for e

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Li, Li, Ke Qi Wang, and Qi Yue. "Research on Optimization Algorithm for MFJSSP." Applied Mechanics and Materials 55-57 (May 2011): 1318–21. http://dx.doi.org/10.4028/www.scientific.net/amm.55-57.1318.

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A method combined ant colony algorithm with particle swarm optimization algorithm was designed for solving multi-objective flexible job shop scheduling problem in this paper. In the combined algorithm the start position of ants was marked by particles optimum position obtained by particle swarm optimization algorithm. Then the traditional ant colony algorithm was improved and was used to search the global optimum scheduling. The combined algorithm was validated by practical instances. The results obtained have shown the proposed approach is feasible and effective for the multi-objective flexib

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Gao, Xuehong, Chanseok Park, Xiaopeng Chen, En Xie, Guozhong Huang, and Dingli Zhang. "Globally Optimal Facility Locations for Continuous-Space Facility Location Problems." Applied Sciences 11, no. 16 (2021): 7321. http://dx.doi.org/10.3390/app11167321.

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The continuous-space single- and multi-facility location problem has attracted much attention in previous studies. This study focuses on determining the globally optimal facility locations for two- and higher-dimensional continuous-space facility location problems when the Manhattan distance is considered. Before we propose the exact method, we start with the continuous-space single-facility location problem and obtain the global minimizer for the problem using a statistical approach. Then, an exact method is developed to determine the globally optimal solution for the two- and higher-dimensio

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Ruszkowski, Janusz. "The Fuzzy Set Method in the Studies on the Multilevel Political System of the European Union." UNIO – EU Law Journal 1 (June 21, 2019): 27–39. http://dx.doi.org/10.21814/unio.1.3.

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The political system of the European Union is unique and difficult to define. This presents significant problems to researchers attempting to clarify this phenomenon by means of conventional research methods. Thus, it seems necessary to start the search with other tools that will allow the exploration of the nature of this phenomenon. Such an unconventional instrument is the fuzzy set method which has been used in logics, geometry and mathematics and which accumulates both a qualitative and a quantitative approach. When applied in the studies on the multi-level political system of the EU, it r

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Wu, Yong Hai, and Feng Wang. "Multi-Objection Optimization Design of Automobile Transmission System." Advanced Materials Research 590 (November 2012): 231–35. http://dx.doi.org/10.4028/www.scientific.net/amr.590.231.

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In this paper the Six-speed transmission with belt overdrive gear of one automobile transmission system will be taken as research object, automobile energy utilization ratio and standing start continuous shift acceleration time will be regarded as objective function, the multi-objective optimization model of automobile transmission system will be established. The improved congestion degree calculation and choose operation method will be put forward according to the problem that poor population diversity when NSGA-II algorithm was used in the transmission optimization, the improved NSGA-II algo

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Farhadi Gharibeh, Hamed, and Meisam Farrokhifar. "Online Multi-Level Energy Management Strategy Based on Rule-Based and Optimization-Based Approaches for Fuel Cell Hybrid Electric Vehicles." Applied Sciences 11, no. 9 (2021): 3849. http://dx.doi.org/10.3390/app11093849.

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This paper introduces an online multi-level energy management strategy (EMS) based on proposed rule-based and optimization-based approaches for fuel hybrid electric vehicles, including fuel cell, battery, and ultracapacitor systems. Our approach combines equivalent consumption minimization, state machine control, operational mode control, and fuzzy logic control methods. The proposed multi-level EMS reduces fuel consumption, enhances fuel cell operating time in a high-efficiency range, reduces battery power fluctuations, and improves maintaining the battery state of charge (SOC). The proposed

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Liu, Shu Qing, and Xing Song Wang. "Dynamic Modeling and Numeration of Flexible Multi-Body System with Closed Loop." Applied Mechanics and Materials 44-47 (December 2010): 1519–24. http://dx.doi.org/10.4028/www.scientific.net/amm.44-47.1519.

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The dynamic model of flexible multi-body system with closed loop is described with natural coordinates. The method is formulaic and especially appropriate to the modeling of system with repetitive substructures, but Lagrange multipliers as unknown variables are contained in the model. The dynamic model is reduced to a system with minimum dimensions by means of null-space orthogonal basis of constraint Jacobin. The result is correspondence with the dynamic model of rigid multi- body system while the rigid and flexible coupling is considered. The numerical method and the simulation steps are giv

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Qiang, Ji. "Advances in global optimization of high brightness beams." International Journal of Modern Physics A 34, no. 36 (2019): 1942016. http://dx.doi.org/10.1142/s0217751x19420168.

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High brightness electron beams play an important role in accelerator-based applications such as driving X-ray free electron laser (FEL) radiation. In this paper, we report on advances in global beam dynamics optimization of an accelerator design using start-to-end simulations and a new parallel multi-objective differential evolution optimization method. The global optimization results in significant improvement of the final electron beam brightness.

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Rabbani, Masoud, Mohsen Davoudkhani, and Hamed Farrokhi-Asl. "A New Multi-Objective Green Location Routing Problem with Heterogonous Fleet of Vehicles and Fuel Constraint." International Journal of Strategic Decision Sciences 8, no. 3 (2017): 99–119. http://dx.doi.org/10.4018/ijsds.2017070105.

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This paper introduces a new variant of Multi-Objective Green Location Routing Problem (MOGLRP) in which the start and end location of each route can be distinct. In this paper, the authors present a new mathematical formulation for the MOGLRP with consideration of environmentally issues. MOGLRP states for the problem of finding routes for vehicles to serve a set of customers while minimizes the total traveled distance, minimizes the total cost including vehicle fixed cost and variable travel cost and the co2 emissions. In order to solve the proposed model, two solution methods are used. Firstl

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Sun, Xudong, Xiaoming Xu, Wei Tang, Huifen Jin, and Hua Ding. "Research on multi-stage heating method of high-speed railway emergency traction battery system based on flat heat pipe." Thermal Science, no. 00 (2020): 172. http://dx.doi.org/10.2298/tsci200118172s.

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High-speed rail vehicles need to start the emergency traction battery system in an emergency. In order to ensure that the emergency traction battery system can be quickly started in cold conditions and ensure that the high-speed railway has sufficient mileage, this paper proposes a multi-stage heating method based on flat heat pipes. The thermodynamic parameters of the power battery are obtained by simulation analysis and experimental verification. According to the thermodynamic model, the heat generation model and coupled heat transfer model of the battery are established. Different heating p

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Pacheco, Joaquín, Francisco Ángel-Bello, and Ada Álvarez. "A multi-start tabu search method for a single-machine scheduling problem with periodic maintenance and sequence-dependent set-up times." Journal of Scheduling 16, no. 6 (2012): 661–73. http://dx.doi.org/10.1007/s10951-012-0280-2.

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Uwano, Fumito, and Keiki Takadama. "Comparison Between Reinforcement Learning Methods with Different Goal Selections in Multi-Agent Cooperation." Journal of Advanced Computational Intelligence and Intelligent Informatics 21, no. 5 (2017): 917–29. http://dx.doi.org/10.20965/jaciii.2017.p0917.

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This study discusses important factors for zero communication, multi-agent cooperation by comparing different modified reinforcement learning methods. The two learning methods used for comparison were assigned different goal selections for multi-agent cooperation tasks. The first method is called Profit Minimizing Reinforcement Learning (PMRL); it forces agents to learn how to reach the farthest goal, and then the agent closest to the goal is directed to the goal. The second method is called Yielding Action Reinforcement Learning (YARL); it forces agents to learn through a Q-learning process,

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Bräysy, Olli, and Wout Dullaert. "A Fast Evolutionary Metaheuristic for the Vehicle Routing Problem with Time Windows." International Journal on Artificial Intelligence Tools 12, no. 02 (2003): 153–72. http://dx.doi.org/10.1142/s0218213003001162.

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This paper presents a new evolutionary metaheuristic for the vehicle routing problem with time windows. Ideas on multi-start local search, ejection chains, simulated annealing and evolutionary computation are combined in a heuristic that is both robust and efficient. The proposed method produces results that are on par with the current best solutions, at a fraction of the computation time needed by previous best approaches. Given the significantly lower time consumption over methods proposed previously in the literature, we consider our approach especially useful in dynamic routing problems, w

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Huang, Chien Yang, and Tai Yan Kam. "A Multi-Level Optimization Method for Elastic Constants Identification of Composite Laminates." Applied Sciences 9, no. 20 (2019): 4267. http://dx.doi.org/10.3390/app9204267.

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A new and effective elastic constants identification technique is presented to extract the elastic constants of a composite laminate subjected to uniaxial tensile testing. The proposed technique consists of a new multi-level optimization method that can solve different types of minimization problems, including the extraction of material constants of composite laminates from given strains. In the identification process, the optimization problem is solved by using a stochastic multi-start dynamic search minimization algorithm at the first level in order to obtain the statistics of the quasi-opti

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Cao, Jin Hua, Hai Qi Zheng, Jian Zhuang Zhi, and Li Jun Cao. "Fault Diagnosis of Low Speed, High-Loaded Bearing in Incomplete Rotating State." Applied Mechanics and Materials 121-126 (October 2011): 2026–29. http://dx.doi.org/10.4028/www.scientific.net/amm.121-126.2026.

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Signals of Low speed, high-loaded bearings in incomplete rotating state have some characteristics, such as nonstationary, varying load, multi vibration resources and no character frequency. Traditional frequency analytical method can’t solve the problem of fault diagnosis of this kind of bearings. Start with angle domain, a new fault diagnosis method based on characteristics of angle domain is put forward in this paper. And the new feature characteristics, touching frequency and parts contacting angle, are extracted from the vibration signals and rotation signals. This method is applied to dia

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