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Relevant bibliographies by topics / Operation Wolf

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Academic literature on the topic 'Operation Wolf'

Author: Grafiati

Published: 4 June 2021

Last updated: 16 February 2022

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Journal articles on the topic "Operation Wolf"

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Donyaii, Alireza, Amirpouya Sarraf, and Hassan Ahmadi. "Water Reservoir Multiobjective Optimal Operation Using Grey Wolf Optimizer." Shock and Vibration 2020 (November 6, 2020): 1–10. http://dx.doi.org/10.1155/2020/8870464.

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This study develops the Multiobjective Grey Wolf Optimization (MOGWO) algorithm to obtain the optimum rules on the operation of the Golestan Dam in Golestan Province, Iran, under the climate change conditions. The tow objective functions defined in the optimization process include minimizing the vulnerability and maximizing the reliability indices of the model under baseline and climate change conditions periods. Results showed that the river flow would decline by 0.17 percent of the baseline period under climate change conditions in addition to increasing the temperature by 20%, as well as decreasing the rainfall by 21.1%. Moreover, the extent of vulnerability index variations in baseline and climate change conditions was 16–45% and 10–43%, respectively. The range of reliability index variations in baseline and climate change conditions was 47–90% and 27–93%. On the other hand, the vulnerability index has also been measured at 29% and 27% for baseline and climate change conditions, respectively, with 75 percent of reliability. Comparison of the reservoir release rate and water demands for all of the Pareto points indicates a rise in release rates for climate change conditions relative to the baseline one; as the result, the higher adjustment in the reservoir release rates to its demand volumes will be highlighted as the higher dam efficiency in climate change conditions.

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Xiao, Lingfei, Min Xu, Yuhan Chen, and Yusheng Chen. "Hybrid Grey Wolf Optimization Nonlinear Model Predictive Control for Aircraft Engines Based on an Elastic BP Neural Network." Applied Sciences 9, no. 6 (March 25, 2019): 1254. http://dx.doi.org/10.3390/app9061254.

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In order to deal with control constraints and the performance optimization requirements in aircraft engines, a new nonlinear model predictive control method based on an elastic BP neural network with a hybrid grey wolf optimizer is proposed in this paper. Based on the acquired aircraft engines data, the elastic BP neural network is used to train the prediction model, and the grey wolf optimization algorithm is applied to improve the selection of initial parameters in the elastic BP neural network. The accuracy of network modeling is increased as a result. By introducing the logistics chaotic sequence, the individual optimal search mechanism, and the cross operation, the novel hybrid grey wolf optimization algorithm is proposed and then used in receding horizon optimization to ensure real-time operation. Subsequently, a nonlinear model predictive controller for aircraft engine is obtained. Simulation results show that, with constraints in the control signal, the proposed nonlinear model predictive controller can guarantee that the aircraft engine has a satisfactory performance.

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Ahmadebrahimpour, Edris. "Optimal operation of reservoir systems using the Wolf Search Algorithm (WSA)." Water Supply 19, no. 5 (January 2, 2019): 1396–404. http://dx.doi.org/10.2166/ws.2019.005.

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Abstract Optimizing hydropower plants is complex due to nonlinearity, complexity, and multidimensionality. This study introduces and evaluates the performance of the Wolf Search Algorithm (WSA) for optimizing the operation of a four-reservoir system and a single hydropower system in Iran. Results indicate WSA could reach 99.95 and 99.91 percent of the global optimum for the four-reservoir system and single reservoir system, respectively. Comparing the results of WSA with a genetic algorithm (GA) also indicates WSA's supremacy over GA. Thus, due to its simple structure and high capability, WSA is recommended for use in other water resources management problems.

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Yang, Donghui, Chuang Yang, Junduo Wu, and Bo Li. "Wolf Minimaze Operation Plus Endocardial Catheter Ablation Cured Chronic Atrial Fibrillation." Journal of Arrhythmia 27, Supplement (2011): PE2_005. http://dx.doi.org/10.4020/jhrs.27.pe2_005.

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Taleb, Nadir, Bachir Bentouati, and Saliha Chettih. "Optimal Power Flow Solutions Incorporating Stochastic Solar Power withthe Application Grey Wolf Optimize." Algerian Journal of Renewable Energy and Sustainable Development 03, no. 01 (June 15, 2021): 74–84. http://dx.doi.org/10.46657/ajresd.2021.3.1.8.

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The present paper aims to validate an electrical network study in consisting of conventional fossil fuel generators with the integration of intermittent generation technologies based on renewable energy resources like wind power or solar photovoltaic (PV) are the stochastic power output. By using an optimal power flow (OPF) problem different frameworks are developed for solving that represent various operating requirements, such as minimization of production fuel cost, and preserving generation emission at the lowest levels... etc. The OPF analysis aims to find the optimal solution and is very important for power system operation with satisfying operational constraints, planning and energy management. However, the intermittent combination of solar exacerbates the complexity of the problem. Within the framework of these criteria, this paper is an overview of the application Grey Wolf Optimizer (GWO) algorithm which solves the OPF problem with renewable energy. The algorithm thus combined and constructed gives optimum results satisfying all network constraints. Give an explanation for findings are based thus need to be with the optimum to effectuate of network constraints.

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Qin, Wei, Linhong Wang, Yuhan Liu, and Cheng Xu. "Energy Consumption Estimation of the Electric Bus Based on Grey Wolf Optimization Algorithm and Support Vector Machine Regression." Sustainability 13, no. 9 (April 22, 2021): 4689. http://dx.doi.org/10.3390/su13094689.

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Electric buses have many significant advantages, such as zero emissions and low noise and energy consumption, making them play an important role in saving the operation cost of bus companies and reducing urban traffic pollution emissions. Therefore, in recent years, many cities in the world dedicate to promoting the electrification of public transport vehicles. Whereas due to the limitation of on-board battery capacity, the driving range of electric buses is relatively short. The accurate estimation of energy consumption on the electric bus routes is the premise of conducting bus scheduling and optimizing the layout of charging facilities. This study collected the actual operation data of three electric bus routes in Meihekou City, China, and established the support vector machine regression (SVR) model by taking the state of charge (SOC), trip travel time, mean environment temperature and air-conditioning operation time as the independent variables; while the energy consumptions of the route operations served as the dependent variables. Furthermore, the grey wolf optimization (GWO) algorithm was adopted to select the optimal parameters of the proposed model. Finally, a support vector machine regression model based on the grey wolf optimization algorithm (GWO-SVR) is proposed. Three real bus lines were taken as examples to validate the model. The results show that the mean average percentage error is 14.47% and the mean average error is 0.7776. In addition, the estimation accuracy and training time of the proposed model are superior to the genetic algorithm-back propagation neural network model and grid-search support vector machine regression model.

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Milenković, Branislav, Mladen Krstić, and Đorđe Jovanović. "Application of grey wolf algorithm for solving engineering optimization problems." Tehnika 76, no. 1 (2021): 50–57. http://dx.doi.org/10.5937/tehnika2101050m.

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This paper presents grey wolf optimization - GWO. After presenting the biological basis of GWO, it explains the method itself and then the main algorithms of the GWO method as well as their mathematical models. The Grey Wolf Algorithm (GWO) is presented in detail as well as the manner of its operation and it application to optimization examples of engineering problems, such as: optimization of speed reducer, pressure vessel, spring, car side impact, cone coupling and cantilever beam. At the end, the results obtained by the GWO method are compared to the results previously obtained by other methods.

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Gu, Qinghua, Xuexian Li, and Song Jiang. "Hybrid Genetic Grey Wolf Algorithm for Large-Scale Global Optimization." Complexity 2019 (February 12, 2019): 1–18. http://dx.doi.org/10.1155/2019/2653512.

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Most real-world optimization problems tackle a large number of decision variables, known as Large-Scale Global Optimization (LSGO) problems. In general, the metaheuristic algorithms for solving such problems often suffer from the “curse of dimensionality.” In order to improve the disadvantage of Grey Wolf Optimizer when solving the LSGO problems, three genetic operators are embedded into the standard GWO and a Hybrid Genetic Grey Wolf Algorithm (HGGWA) is proposed. Firstly, the whole population using Opposition-Based Learning strategy is initialized. Secondly, the selection operation is performed by combining elite reservation strategy. Then, the whole population is divided into several subpopulations for cross-operation based on dimensionality reduction and population partition in order to increase the diversity of the population. Finally, the elite individuals in the population are mutated to prevent the algorithm from falling into local optimum. The performance of HGGWA is verified by ten benchmark functions, and the optimization results are compared with WOA, SSA, and ALO. On CEC’2008 LSGO problems, the performance of HGGWA is compared against several state-of-the-art algorithms, CCPSO2, DEwSAcc, MLCC, and EPUS-PSO. Simulation results show that the HGGWA has been greatly improved in convergence accuracy, which proves the effectiveness of HGGWA in solving LSGO problems.

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Wilkerson, Jessica. "Struggle for the Soul of the Postwar South: White Evangelical Protestants and Operation Dixie by Elizabeth Fones-Wolf and Ken Fones-Wolf." Labour / Le Travail 77, no. 1 (2016): 310–12. http://dx.doi.org/10.1353/llt.2016.0037.

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Creech, Joe. "Struggle for the Soul of the Postwar South: White Evangelical Protestants and Operation Dixie by Elizabeth Fones-Wolf and Ken Fones-Wolf." Labor 14, no. 2 (April 18, 2017): 119–20. http://dx.doi.org/10.1215/15476715-3790323.

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Dissertations / Theses on the topic "Operation Wolf"

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Shornikov, Andrey [Verfasser], and Andreas [Akademischer Betreuer] Wolf. "An electron cooler for ultra-low energy cryogenic operation / Andrey Shornikov ; Betreuer: Andreas Wolf." Heidelberg : Universitätsbibliothek Heidelberg, 2012. http://d-nb.info/1179785029/34.

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Köthe, Alexander [Verfasser], Manfred [Akademischer Betreuer] Zehn, Robert [Gutachter] Luckner, Carlos E. S. [Gutachter] Cesnik, and Wolf-Reiner [Gutachter] Krüger. "Flight mechanics and flight control for a multibody aircraft : Long-endurance operation at high altitudes / Alexander Köthe ; Gutachter: Robert Luckner, Carlos E. S. Cesnik, Wolf-Reiner Krüger ; Betreuer: Manfred Zehn." Berlin : Universitätsverlag der TU Berlin, 2019. http://d-nb.info/1189727722/34.

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Lakshminarayanan, Srivathsan. "Nature Inspired Grey Wolf Optimizer Algorithm for Minimizing Operating Cost in Green Smart Home." University of Toledo / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1438102173.

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Frings, Wolfgang [Verfasser], Uwe [Akademischer Betreuer] Naumann, and Felix Gerd Eugen [Akademischer Betreuer] Wolf. "Efficient task-local I/O operations of massively parallel applications / Wolfgang Frings ; Uwe Naumann, Felix Gerd Eugen Wolf." Aachen : Universitätsbibliothek der RWTH Aachen, 2016. http://d-nb.info/1130590550/34.

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Ndione, Augustin. "Contribution à une étude de la différence entre la réduplication et la répétition en Français et en Wolof." Thesis, Tours, 2013. http://www.theses.fr/2013TOUR2011/document.

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Cette thèse s’inscrit dans une perspective typologique et porte sur la réduplication et la répétition en français et en wolof (langue du Sénégal). Elle porte sur un procédé linguistique souvent considéré comme marginal pour une langue de grande diffusion comme le français du fait, entre autres, qu’il apparaît à l’oral. L’investigation menée a permis de montrer que ce procédé n’est pas plus employé en wolof, langue à tradition orale, qu’en français puisqu’on réduplique les termes issus des catégories similaires dans les deux langues ; en français par exemple on peut rédupliquer des prénoms (Dédé, Vava, etc.), des noms (salade-salade), des verbes (il pleut-pleut), des adjectifs (joli-joli) et des adverbes (loin-loin), et en wolof, on peut rédupliquer des patronymes (wade-wade), des toponymes (bawol-bawol), des bases lexicales (am-am « possession »), des adverbes (leeg-leeg « souvent ») et des noms (goor-goor-lu « débrouillard »).Cette thèse s'inscrit dans le cadre de la théorie des opérations prédicatives et énonciatives initiée par Cucioli. Ainsi à la suite de Culioli (1990), Kabore (1998), Osu (2007, 2010), cette thèse montre que la réduplication est un procédé qui met en jeu une opération de détermination puisqu'il s'agit de déterminer une occurrence d'un domaine notionnel. Mais nous considérons la juxtaposition des deux composantes de la structure réduplicative comme un marqueur d'opérationlinguistique, au sens culiolien du terme, en essayant de cerner le rôle de chaque composante au sein de cette structure. Dès lors, nous montrons que la première composante de la structure représente une occurence quelconque alors que l deuxième représente l'occurrence représentative du domaine notionnel. Quant à la juxtaposition, son rôle se ramène à identifier l'occurrence représentative, réécrite comme ceci : .Cette hypothèse ébauchée lors de l'étude du français a été reprise et vérifiée à l'épreuve des faits issus du wolof.... Cette thèse a donc permis de poser clairement, que la réduplication fonctionne par un mécanisme invariant, et qu'elle est différente de la répétition même si ces deux procédés ont des points communs
This thesis deals with reduplication and repetition in French and Wolof (an unwritten language spoken in Senegal) in a typological perspective. Reduplication has often been considered to be marginal in a widely spoken language such as French and English. A major reason often given is that it mainly occurs in the spoken form of the language. Our analysis shows that it does not occur more in Wolof than in French, since similar reduplicated categories (nouns, adjectives, verbs etc.) can be found in both languages. In French, for example, one can reduplicate proper names (e.g. Dédé, Vava etc.), nouns (e.g. salade-salade), verbs (e.g. il pleut-pleut), adjectives (e.g. joli-joli) and adverbs (e.g. loin-loin); and in Wolof, one can reduplicate patronyms (e.g. wade-wade) toponyms (e.g. bawol-bawol), lexical tap roots (e.g. am-am ‘possession’), adverbs (e.g. leeg-leeg 'often') and nouns (e.g. goor-goor-lu 'resourceful'). This thesis is realized within the framework of the theory of predicative and enunciative operations (Fr. TOPE) initiated by Culioli. In line with Culioli (1990: 117), Kabore (1998), Osu (2007, 2010), this thesis argues that reduplication is a process that involves the operation of determination. Indeed, it implies that an occurrence of a given notional domain is determined with reference to another occurrence of the domain. in question. In this view, we have regarded the juxtaposition of the two components as a marker of a linguistic operation and outlined the role of each component of the reduplicative structure. Thus, we show that the first component of the structure represents an unspecified occurrence while the second stands for the representative occurrence ofa notional domain. As for the juxtaposition, its role consits of identifying the unspecified occurrence in relation to the representative occurrence, rewritten as follows: . This analysis which was first outlined while studying reduplication in French was then applied to Wolofin the light of facts from this language....This thesis clearly shows that reduplication has an invariant abstract generalizable working mechanism, and that it is quite different from repetition even though the two processes seem to have similar features

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Awak, Muhannad [Verfasser], and Wolf Peter [Akademischer Betreuer] Sollmann. "Operative Behandlung komplexer C1/C2 Frakturen / Muhannad Awak ; Akademischer Betreuer: Wolf Peter Sollmann ; Neurochirurgische Klinik des Städtischen Klinikums Braunschweig gGmbH." Hannover : Bibliothek der Medizinischen Hochschule Hannover, 2018. http://d-nb.info/1173910492/34.

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Wolf, Susann [Verfasser], and Nikos [Akademischer Betreuer] Fersis. "Einführung einer neuen operativen Methode in der Brustchirurgie : Stellenwert der Sentinel Lymphknotenbiopsie unter qualitätsgesicherten Aspekten / Susann Wolf ; Betreuer: Nikos Fersis." Tübingen : Universitätsbibliothek Tübingen, 2016. http://d-nb.info/1197693963/34.

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Awak, Muhannad [Verfasser], and Wolf-Peter [Akademischer Betreuer] Sollmann. "Operative Behandlung komplexer C1/C2 Frakturen / Muhannad Awak ; Akademischer Betreuer: Wolf Peter Sollmann ; Neurochirurgische Klinik des Städtischen Klinikums Braunschweig gGmbH." Hannover : Bibliothek der Medizinischen Hochschule Hannover, 2018. http://nbn-resolving.de/urn:nbn:de:gbv:354-20181214101.

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Büchler, Wolf Jakob [Verfasser]. "Einfluss des präoperativen Vitamin D-Spiegels auf die Entstehung eines postoperativen Hypoparathyreoidismus nach Operationen an Schilddrüse und Nebenschilddrüse / Wolf Jakob Büchler." Ulm : Universität Ulm, 2021. http://d-nb.info/1241188912/34.

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Poetschke, Sebastian [Verfasser], Kathleen [Akademischer Betreuer] Herkommer, and Klaus-Dietrich [Akademischer Betreuer] Wolff. "Vertrauen der Patienten nach radikaler Prostatektomie in die erfolgte Operation / Sebastian Poetschke. Gutachter: Kathleen Herkommer ; Klaus-Dietrich Wolff. Betreuer: Kathleen Herkommer." München : Universitätsbibliothek der TU München, 2015. http://d-nb.info/1076359612/34.

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Books on the topic "Operation Wolf"

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B, Flanders Alan, ed. Wolf at the door: The World War II antisubmarine battle for Hampton Roads. Richmond, Va: Brandylane Publishers, 2004.

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Peter, Hohnen, ed. The Wolf. London: Bantam, 2009.

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Dönitz and the wolf packs. London: Arms and Armour, 1996.

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Defeat of the wolf packs. Novato, CA: Presidio, 1987.

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Edwards, Bernard. Dönitz and the wolf packs. London: Arms and Armour, 1996.

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Vause, Jordan. Wolf: U-boat commanders in World War II. Annapolis, Md: Naval Institute Press, 1997.

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Defeat of the wolf packs. London: Kimber, 1986.

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Dönitz and the wolf packs: The U-boats at war. London: Arms and Armour, 1996.

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Edwards, Bernard. Dönitz and the wolf packs: The U-boats at war. London: Cassell, 1999.

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The Last Wolf. Sutton, Surrey, England: Severn House, 2011.

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Book chapters on the topic "Operation Wolf"

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Chen, Ran-Fan, Kuo-Chi Chang, Kai-Chun Chu, Fu-Hsiang Chang, Hsiao-Chuan Wang, Tsui-Lien Hsu, and Jia-jing Liu. "Optimal Operation of Reservoir Power Generation Based on Improved Grey Wolf Algorithm." In Advances in Intelligent Systems and Computing, 987–96. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69717-4_92.

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Hoffman, Alan J. "Philip Starr Wolfe." In Profiles in Operations Research, 627–42. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-1-4419-6281-2_34.

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Gass, Saul I., and Carl M. Harris. "Frank-Wolfe method." In Encyclopedia of Operations Research and Management Science, 314. New York, NY: Springer US, 2001. http://dx.doi.org/10.1007/1-4020-0611-x_366.

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Gupta, Shubham, and Kusum Deep. "Hybrid Grey Wolf Optimizer with Mutation Operator." In Advances in Intelligent Systems and Computing, 961–68. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1595-4_75.

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Frazho, Arthur E., and Wisuwat Bhosri. "The Wold Decomposition." In An Operator Perspective on Signals and Systems, 3–22. Basel: Birkhäuser Basel, 2010. http://dx.doi.org/10.1007/978-3-0346-0292-1_1.

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Daneva, Maria, and Per Olov Lindberg. "A Conjugate Direction Frank-Wolfe Method with Applications to the Traffic Assignment Problem." In Operations Research Proceedings 2002, 133–38. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-55537-4_21.

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Wilson, Peter. "Liberal Internationalism, Anticapitalism, and Consumers’ Co-operation: Toward a Nonstate, Nonmarket Approach to International Economic Organization." In The International Theory of Leonard Woolf, 143–75. New York: Palgrave Macmillan US, 2003. http://dx.doi.org/10.1057/9781403973733_7.

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Martínez-Legaz, Juan Enrique, Dominikus Noll, and Wilfredo Sosa. "Non-polyhedral Extensions of the Frank and Wolfe Theorem." In Splitting Algorithms, Modern Operator Theory, and Applications, 309–29. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-25939-6_12.

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Renziehausen, K., F. Genau, J. Schlosser, and B. Mittag. "Das operative Behandlungskonzept des Zervixkarzinoms und dessen Ergebnisse in der Frauenklinik des Bezirkskrankenhauses Friedrich Wolf, Karl-Marx-Stadt." In Therapie des Zervixkarzinoms, 123–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-75058-8_13.

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Heidari, Ali Asghar, and Rahim Ali Abbaspour. "Enhanced Chaotic Grey Wolf Optimizer for Real-World Optimization Problems." In Handbook of Research on Emergent Applications of Optimization Algorithms, 693–727. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-2990-3.ch030.

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The gray wolf optimizer (GWO) is a new population-based optimizer that is inspired by the hunting procedure and leadership hierarchy in gray wolves. In this chapter, a new enhanced gray wolf optimizer (EGWO) is proposed for tackling several real-world optimization problems. In the EGWO algorithm, a new chaotic operation is embedded in GWO which helps search agents to chaotically move toward a randomly selected wolf. By this operator, the EGWO algorithm is capable of switching between chaotic and random exploration. In order to substantiate the efficiency of EGWO, 22 test cases from IEEE CEC 2011 on real-world problems are chosen. The performance of EGWO is compared with six standard optimizers. A statistical test, known as Wilcoxon rank-sum, is also conducted to prove the significance of the explored results. Moreover, the obtained results compared with those of six advanced algorithms from CEC 2011. The evaluations reveal that the proposed EGWO can obtain superior results compared to the well-known algorithms and its results are better than some advanced variants of optimizers.

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Conference papers on the topic "Operation Wolf"

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Jitkongchuen, Duangjai, Pongsak Phaidang, and Piyalak Pongtawevirat. "Grey wolf optimization algorithm with invasion-based migration operation." In 2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS). IEEE, 2016. http://dx.doi.org/10.1109/icis.2016.7550769.

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Hassan, Zeinab G., Mohamed Ezzat, and Almoataz Y. Abdelaziz. "Enhancement of power system operation using grey wolf optimization algorithm." In 2017 Nineteenth International Middle East Power Systems Conference (MEPCON). IEEE, 2017. http://dx.doi.org/10.1109/mepcon.2017.8301211.

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Jitkongchuen, Duangjai, Warattha Sukpongthai, and Arit Thammano. "Weighted distance grey wolf optimization with immigration operation for global optimization problems." In 2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD). IEEE, 2017. http://dx.doi.org/10.1109/snpd.2017.8022652.

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Ghinea, Constantin, Mircea Eremia, Dorian O. Sidea, and Lucian Toma. "Optimal location of a PV system using Grey Wolf Optimizer and operation analysis." In 2021 9th International Conference on Modern Power Systems (MPS). IEEE, 2021. http://dx.doi.org/10.1109/mps52805.2021.9492636.

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Sukumar, Shivashankar, Marayati Marsadek, Agileswari Ramasamy, and Hazlie Mokhlis. "Grey Wolf Optimizer Based Battery Energy Storage System Sizing for Economic Operation of Microgrid." In 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). IEEE, 2018. http://dx.doi.org/10.1109/eeeic.2018.8494501.

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Andre´, Gerald R., James D. Andrachek, April R. Rawluszki, William H. Ketchum, and Steve G. Wideman. "Westinghouse Owners Group’s Program to Extend the Technical Specification Completion Time for the Containment Isolation Valves." In 10th International Conference on Nuclear Engineering. ASMEDC, 2002. http://dx.doi.org/10.1115/icone10-22351.

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The Westinghouse Owners Group (WOG) has undertaken a number of programs focused on improving U.S. Nuclear Regulatory Commission (NRC) Technical Specification requirements. This particular program focused on the Completion Times (CTs) for the containment penetration isolation valves (CIVs). This paper presents and discusses the approach and analysis to extend these CTs from 4 hours to 7 days. This extension is necessary to provide sufficient time for plant personnel to address CIV inoperability and to perform preventive maintenance activities on the CIVs during power operation. Containment penetration types that were included in these analyses were for systems connected to the containment atmosphere, the reactor coolant system, and the steam generators. The approach used in this program applied both deterministic and probabilistic evaluations. A plant-specific implementation of the generic analysis is provided for the Wolf Creek Generating Station (WCGS). The results show that a CT extension to 7 days can be justified for a majority of the CIVs for the WCGS. For those CIVs where the full 7-day extension could not be justified, it was found that many could be extended to at least 12 hours. There were only a small number of CIVs where an extension could not be justified.

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Moharrer, Armin, and Stratis Ioannidis. "Distributing Frank-Wolfe via Map-Reduce." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/748.

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Abstract:

We identify structural properties under which a convex optimization over the simplex can be massively parallelized via map-reduce operations using the Frank-Wolfe (FW) algorithm. A broad class of problems, e.g., Convex Approximation, Experimental Designs, and Adaboost, can be tackled this way. We implement FW over Apache Spark, and solve problems with 20 million variables using 350 cores in 79 minutes; the same operation takes 165 hours when executed serially.

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Das, Saborni, Abhik Hazra, Mousumi Basu, and Ashish Laddha. "Optimized hydel-thermic operative outlining using grey-wolf optimizing technique." In 2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI). IEEE, 2017. http://dx.doi.org/10.1109/icpcsi.2017.8392015.

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Xia, Hui. "An improved wolf search algorithm introduced by Nelder-Mead operator." In 2018 IEEE 3rd International Conference on Cloud Computing and Big Data Analysis (ICCCBDA). IEEE, 2018. http://dx.doi.org/10.1109/icccbda.2018.8386459.

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Wu, R. S., C. Hu, and M. Jakobsen. "Nonlinear Sensitivity Operator and Its De Wolf Approximation in T-matrix Formalism." In 76th EAGE Conference and Exhibition 2014. Netherlands: EAGE Publications BV, 2014. http://dx.doi.org/10.3997/2214-4609.20140778.

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