Thematische Bibliographien / Evolutional strategy

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Auswahl der wissenschaftlichen Literatur zum Thema „Evolutional strategy“

Autor: Grafiati

Veröffentlicht am 28. Juni 2021

Zuletzt aktualisiert am 1. Februar 2022

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Zeitschriftenartikel zum Thema "Evolutional strategy"

Ding, Yangke, Lei Ma, Ye Zhang und Dingzhong Feng. „Analysis of Evolution Mechanism and Optimal Reward-Penalty Mechanism for Collection Strategies in Reverse Supply Chains: The Case of Waste Mobile Phones in China“. Sustainability 10, Nr. 12 (12.12.2018): 4744. http://dx.doi.org/10.3390/su10124744.

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The aim of this paper is to discuss the coopetition (cooperative competition) relationship between a manufacturer and a collector in the collection of waste mobile phones (WMPs) and examine the evolution mechanism and the internal reward-penalty mechanism (RPM) for their collection strategies. A coopetition evolutionary game model based on evolutionary game theory was developed to obtain their common and evolutional collection strategies. The pure-strategy Nash equilibriums of this model were obtained which showed their collection strategy choices of perfect competition or cooperation. The mixed strategy Nash equilibrium was obtained which revealed evolution trends and laws. In addition, the optimal RPM was obtained in the sensitivity analysis of related parameters. The example of WMPs in China was taken to examine the simulation of the RPM. Results show that (i) although the manufacturer and the collector may change their strategies of cooperation and competition over time, cooperation is their best choice to increase payoffs; (ii) the optimal RPM is beneficial to propel their cooperation tendency and then to increase their payoffs.

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Yao, Kong, Bong Yang, Xing Zu Wang und Chang Qing Gao. „Pedigree Based Product Conceptual Design“. Applied Mechanics and Materials 215-216 (November 2012): 597–601. http://dx.doi.org/10.4028/www.scientific.net/amm.215-216.597.

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By applying pedigree into product conceptual structure design, an evolutionary conceptual design approach is set forth to make full use of creative and innovative intelligence of living systems for design automation. According to the evolutional logic of quantities to quality, the relationship between different conceptual structures is deduced and ordered，then is expressed as product pedigree. The classification description model of product pedigree is established, which can be used as unified functionally isomorphic model during the intelligent conceptual design process. On the other hand, according to the evolutional logic of quality to quantities, pedigree based product evolutionary design strategy are given. Based on the relation network among pedigree units, multiple variation designing schemes can be obtained, which is a strong backbone to the innovative design process. Finally, design examples are used to demonstrate the successful application of the proposed pedigree based evolutionary method in the multi-scheme conceptual design of product.

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Wang, Xing Zu, Bo Yang, Kong Yao und Chang Qing Gao. „Product Pedigree Based Conceptual Structure Evolutionary Design“. Applied Mechanics and Materials 215-216 (November 2012): 612–15. http://dx.doi.org/10.4028/www.scientific.net/amm.215-216.612.

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By applying biological pedigree concept into product conceptual structure design, an conceptual structural design approach is set forth to make full use of creative and innovative intelligence of living systems for design automation. According to the relationship between different product structures with same function, the classification model of product pedigree is established, which can be used as unified functional isomorphic model during the intelligent conceptual design process. On the other hand, according to the evolutional logic from quality change to quantities change, pedigree based product evolutionary design strategy is given. Product pedigrees which are homology dependent are used as basic evolutionary models, based on which, the parameter based, interaction field based and interaction mater based evolutional conceptual design method are proposed, respectively. Based on the relation network of the pedigree units, multiple variant design schemes can be obtained, which is a strong backbone to the innovative design process. Finally, design examples are used to demonstrate the successful application of the proposed pedigree based evolutionary method in the product variant design.

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Smirnov, Sergei Vladimirovich. „STRATEGY OF SOCIO-BIO-ECO-CO-EVOLUTIONAL DEVELOPMENT: ESSENTIAL ASPECTS, BACKGROUNDS FOR REALIZATION“. Manuscript, Nr. 9 (September 2019): 106–11. http://dx.doi.org/10.30853/manuscript.2019.9.21.

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Tanimizu, Y., T. Sakaguchi, K. Iwamura und N. Sugimura. „Evolutional reactive scheduling for agile manufacturing systems“. International Journal of Production Research 44, Nr. 18-19 (15.09.2006): 3727–42. http://dx.doi.org/10.1080/00207540600791632.

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Gaweiler, Andrey. „The methodology of the gradual implementation of development strategy in urban economy under the shifts in technology bases“. Moscow University Economics Bulletin 2015, Nr. 6 (31.12.2015): 40–57. http://dx.doi.org/10.38050/01300105201563.

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On the basis of the identified critical insufficiency of a widespread extrapolation approach to the development strategy of the Russian city we synthesize a stepwise process of long-term economic development of the city through changing technological bases, represented as a chain of successive steps of the main strategic decision makers. The resulting trajectory of economic development of the city is presented in the form of regular replacement of long-term waves of radical innovations through restructuring crises. The proposed integrated strategic approach, synthesizing macro- and microeconomic evolutional approaches deriving from the fields of business, finance, management, strategy, municipal and state regulation can help all the participants of the transition process to innovative path of development, which adds to the leading role of a city in the context of globalization.

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Li, Qian, und Yuanfei Kang. „Knowledge Sharing Willingness and Leakage Risk: An Evolutional Game Model“. Sustainability 11, Nr. 3 (23.01.2019): 596. http://dx.doi.org/10.3390/su11030596.

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Prior research of knowledge sharing between firms mainly focuses on enabling factors, such as benefits resulting from knowledge sharing, leading to an overlook at barriers. Guided by transaction cost economics and social exchange theory, our study constructed an evolutional game model to analyse the dynamic evolution process of the firm’s knowledge sharing behaviour in a setting of supply chain networks. Using a simulation in our game model, we firstly reveal how a long-term strategy for supply chain partners towards knowledge sharing is determined through reaching an equilibrium between enabling factors (revenue gained in various forms) and impeding factors (knowledge leakage) in a dynamic process. Secondly, our analysis demonstrates that the competition or rivalry side of the “co-opetition” relationship acts as the major barrier for knowledge sharing due to the sharer’s concern of knowledge leakage. Thirdly, our model has identified knowledge relevancy as the inherent property of knowledge and the firm’ ability of knowledge inference as two important factors influencing knowledge leakage.

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Moriwaki, Toshimichi, und Keiichi Shirase. „Intelligent machine tools: current status and evolutional architecture“. International Journal of Manufacturing Technology and Management 9, Nr. 3/4 (2006): 204. http://dx.doi.org/10.1504/ijmtm.2006.010055.

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Gao, Wu. „Nonlinear Forecasting Model regarding Evolutional Risk of the PPP Project“. Journal of Advanced Transportation 2018 (14.10.2018): 1–9. http://dx.doi.org/10.1155/2018/3870285.

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The special topic of this paper is to build a nonlinear measuring model between PPP project risk and multiple variables and test it through case analysis. Nonlinear regression method was used in this research to study the risk mutation of public-private partnership (PPP) projects without any significant events. Risk evolution is influenced by three factors which include (1) macroscopic environment, (2) micro environment, and (3) subject’s capacity and their cooperative relationship. First, it reveals three main drive variables of project risk evolution through case analysis. Second, it builds a nonlinear time-varying measurement model which is then transformed to a classical regression model. Lastly, it estimates and tests the model parameter by an example. The study shows that there is an integral negative correlation among the three independent variables within a certain threshold range, revealing macro environment as the most significant factor of project risk. Analyzing the complex relationship between multiple impact variables and risk evolution of PPP projects can provide a basic tool for forecasting and control of risk.

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Wang, Xing Wei, Yong Jian Sun, Wei Gang Hou, Min Huang und Lei Guo. „A Novel Static Traffic Grooming Algorithm Based on Steady Elimination Evolutionary and Gaming“. Advanced Materials Research 403-408 (November 2011): 1869–74. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.1869.

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In this paper, we propose a static traffic grooming method, where both wavelength layered graph and evaluation function are deployed with the objective of maximizing Quality of Service (QoS) satisfaction degree of user and minimizing comparative cost of IP over WDM optical networks, based on Steady Elimination Evolutionary Algorithm (SEEA) and gaming. Using proposed novel hybridization operation and evolutional strategy with the consideration of individual diversity in niche population, our method can eliminate the worst individual in the current niche population and generate optimized traffic grooming program. Our method has been analyzed and compared with the other traffic grooming schemes on the realistic network topologies in our simulations. Simulation results have demonstrated that our method outperforms state-of-the-art grooming schemes, which is highly feasible and effective.

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Dissertationen zum Thema "Evolutional strategy"

Beránek, Michal. „Evoluční optimalizace nákladní přepravy“. Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2021. http://www.nusl.cz/ntk/nusl-445582.

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The following thesis deals with optimization of freight transport planning. The goal is to minimize expenses connected to transportation, which emerge from travelled distance. The expenses can be heavily reduced, if the routes are correctly planned, especially when there is a large number of customers to be served. This thesis focuses on solving the problem by using the evolutional algorithms, that are optimization methods based on principles of evolution. Thesis concentrates on Heterogeneous Fixed Fleet Vehicle Routing Problem. Thesis introduces multiple evolutional algorithms and their results are compared. The best algorithm, evolutional strategy with local neighbourhood search, achieves similar, for certain tasks even better results, than other existing evolutional algorithms, created to solve given problem.

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Sapargaliyev, Yerbol. „Automatic design of analogue circuits“. Thesis, Brunel University, 2011. http://bura.brunel.ac.uk/handle/2438/6323.

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Evolvable Hardware (EHW) is a promising area in electronics today. Evolutionary Algorithms (EA), together with a circuit simulation tool or real hardware, automatically designs a circuit for a given problem. The circuits evolved may have unconventional designs and be less dependent on the personal knowledge of a designer. Nowadays, EA are represented by Genetic Algorithms (GA), Genetic Programming (GP) and Evolutionary Strategy (ES). While GA is definitely the most popular tool, GP has rapidly developed in recent years and is notable by its outstanding results. However, to date the use of ES for analogue circuit synthesis has been limited to a few applications. This work is devoted to exploring the potential of ES to create novel analogue designs. The narrative of the thesis starts with a framework of an ES-based system generating simple circuits, such as low pass filters. Then it continues with a step-by-step progression to increasingly sophisticated designs that require additional strength from the system. Finally, it describes the modernization of the system using novel techniques that enable the synthesis of complex multi-pin circuits that are newly evolved. It has been discovered that ES has strong power to synthesize analogue circuits. The circuits evolved in the first part of the thesis exceed similar results made previously using other techniques in a component economy, in the better functioning of the evolved circuits and in the computing power spent to reach the results. The target circuits for evolution in the second half are chosen by the author to challenge the capability of the developed system. By functioning, they do not belong to the conventional analogue domain but to applications that are usually adopted by digital circuits. To solve the design tasks, the system has been gradually developed to support the ability of evolving increasingly complex circuits. As a final result, a state-of-the-art ES-based system has been developed that possesses a novel mutation paradigm, with an ability to create, store and reuse substructures, to adapt the mutation, selection parameters and population size, utilize automatic incremental evolution and use the power of parallel computing. It has been discovered that with the ability to synthesis the most up-to-date multi-pin complex analogue circuits that have ever been automatically synthesized before, the system is capable of synthesizing circuits that are problematic for conventional design with application domains that lay beyond the conventional application domain for analogue circuits.

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NICOLAS, Guillaume. „The evolution of strategic thinking and practices: Blue Ocean Strategy“. Thesis, Linnéuniversitetet, Ekonomihögskolan, ELNU, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-13423.

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Wang, Xiaohui. „Singularity Theory of Strategy Functions Under Dimorphism Equivalence“. The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1426460461.

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Adamakakis, Adam. „Strategic management--the evolution of strategy in a real estate company“. Thesis, Massachusetts Institute of Technology, 1993. http://hdl.handle.net/1721.1/62917.

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Shen, Liang. „Evolutionary algorithms with mixed strategy“. Thesis, Aberystwyth University, 2016. http://hdl.handle.net/2160/f08f9fe9-f4d1-48cd-aa17-3218eb2f4f35.

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During the last several decades, many kinds of population based Evolutionary Algorithms have been developed and considerable work has been devoted to computational methods which are inspired by biological evolution and natural selection, such as Evolutionary Programming and Clonal Selection Algorithm. The objective of these algorithms is not only to find suitable adjustments to the current population and hence the solution, but also to perform the process efficiently. However, a parameter setting that was optimal at the beginning of the algorithm may become unsuitable during the evolutionary process. Thus, it is preferable to automatically modify the control parameters during the runtime process. The approach required could have a bias on the distribution towards appropriate directions of the search space, thereby maintaining sufficient diversity among individuals in order to enable further ability of evolution. This thesis has offered an initial approach to developing this idea. The work starts from a clear understanding of the literature that is of direct relevance to the aforementioned motivations. The development of this approach has been built upon the basis of the fundamental and generic concepts of evolutionary algorithms. The work has exploited and benefited from a range of representative evolutionary computational mechanisms. In particular, essential issues in evolutionary algorithms such as parameter control, including the general aspects of parameter tuning and typical means for implementing parameter control have been investigated. Both the hyperheuristic algorithm and the memetic algorithm have set up a comparative work for the present development. This work has developed several novel techniques that contribute towards the advancement of evolutionary computation and optimization. One such novel approach is to construct a mixed strategy based on the concept of local fitness landscape. It exploits the concepts of fitness landscape and local fitness landscape. Both theoretical description and experimental investigation of this local fitness landscape-based mixed strategy have been provided, and systematic comparisons with alternative approaches carried out. Another contribution of this thesis is the innovative application of mixed strategy. This is facilitated by encompassing two mutation operators into the mixed strategy, which are borrowed from classical differential evolution techniques. Such an improved method has been shown to be simple and easy for implementation. The work has been utilised to deal with the problem of protein folding in bioinformatics. It is demonstrated that the proposed algorithm possesses an appropriate balance between exploration and exploitation. The use of this improved algorithm is less likely to fall into local optimal, entailing a faster and better convergence in resolving challenging realistic application problems.

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Sandberg, Johan. „Digital Capability : Investigating Coevolution of IT and Business Strategies“. Doctoral thesis, Umeå universitet, Institutionen för informatik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-88722.

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This dissertation investigates the role of information technology (IT) in organizational strategy. Specifically, it examines how organizations can persist in turbulent competitive landscapes characterized by IT innovations. Underlying premises for this dissertation are that: (1) ubiquitous IT implies constant disruptions from digital innovation, (2) IT and practice are becoming fused, and (3) organizational strategies are dynamically linked with practice, i.e. they are reciprocally related through what organizations do rather than have. To investigate such IT strategizing processes, I outline a conceptual framework for analyzing how organizations can generate digital capability, i.e. a collection of routines for strategizing by leveraging digital assets to create differential value. Digital assets here refer to the complement of available resources and competencies for IT design and implementation. Based on the notion of dynamic capability and evolutionary theory, this framework emphasizes the importance of sensing, seizing and transforming abilities for generating digital capability. As organizational practices are becoming fused with IT scholars have argued that attempting to disentangle them analytically is futile. In a similar vein, organizational strategy is increasingly reliant on available IT resources for both formulation and execution. In the IS field it is widely acknowledged that IT has both enabling and inhibiting consequences for organizations. Drawing on the resource-based view of the firm and theory on organizational capabilities, the notion of IT capability has been widely used as a conceptual tool for analyzing these dual strategic effects of IT. Considering the explosive advances in computing, network and interaction that have resulted in IT being ubiquitous and deeply embedded in contemporary practices, recent research argues for the need to move beyond the functional view of technology implicit in the IT capability notion. A key aspect to address for such broadening of the perspective is the coevolution of IT and business practices, i.e. who (or what) leads, who or what follows, and whether such a causal distinction is meaningful. Grounded in the outlined conceptual framework, this dissertation examines how organizations can build digital capability to both enable large variation and complexity of feasible competitive actions, and reduce inhibiting effects of IT. The empirical investigation is situated in three distinct domains: boundary spanning IT innovation, transformation of existing IT resources, and hybridization of technology through digitalization of production equipment. These investigations are presented in five research papers. The dissertation contribute to knowledge of IT strategy by: (1) explicating the construct of digital capability, (2) providing a framework for coevolutionary strategizing processes, (3) presenting an empirical illustration of the coevolution of IT and business strategies, and (4) offer specific insights on design and orchestration of processes for digital capability generation.

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Ul-Haq, Rehan. „Do strategic alliances add value? : an empirical examination at industry and firm levels in European banking“. Thesis, Loughborough University, 2004. https://dspace.lboro.ac.uk/2134/7697.

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Strategic alliances are a prevalent form of business organization. The critical characteristics of strategic alliances are detailed using Coase (1937) and the resulting definition tested through primary research and the alternative form, the infrastructure alliance posited. The thesis examines whether strategic alliances add value in the European banking sector through four types of analysis at two levels of engagement - a 23 historical review (at industry level); a review of over 400 papers in the academic literature; a questionnaire survey (at firm level) and in-depth interviews (at firm level). Bankers high pre-existing propensity to enter into strategic alliances is determined and three lifecycles, and the underpinning, conditions identified - Clubs and Consortium Banks, Bankassurance and the Virtual bank - the latter involving a fundamental change in Coase (1937) enabled by the underpinning technology. Bankers were found to be followers of potential business steams and the strategic alliance was one form of market entry. The questionnaire research, however, identified European bankers prefer to enter into alliances (as opposed to own branch or M&A) only in countries which had the appropriate supporting conditions such as definable, enforceable and terminable contracts, the provision of accounting information, stable governments and economic freedom. Direct discussions with senior bankers resulted in a number of valuable insights into the conceiving, forming, organizing evolving and dissolving of alliances. Further research into the infrastructure alliance, including 'oscillation' between infrastructure and strategic forms is proposed. The Co-Evolution Model of Strategic Alliances is proposed and taxonomy consisting of parallel co-evolution, convergent coevolution, divergent co-evolution and the subsidiary taxonomy of differential parallel coevolution, differential convergent co-evolution and differential divergent co-evolution detailed and further research suggested. Strategic alliances are found to add value in European banking but this value is contingent on the strength of the business stream, the global, national and industry conditions and the nature of managerial decisions and drive.

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Afsar, Shahid A. Samples Christopher A. „The evolution of the Taliban“. Monterey, Calif. : Naval Postgraduate School, 2008. http://handle.dtic.mil/100.2/ADA483587.

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Thesis (M.S. in Defense Analysis)--Naval Postgraduate School, June 2008.
Thesis Advisor(s): Johnson, Thomas H. "June 2008." Description based on title screen as viewed on August 26, 2008. Includes bibliographical references (p. 165-178). Also available in print.

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Noble, Laine. „Evolution of Dispersal in Patchy Habitats“. The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1448878039.

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Bücher zum Thema "Evolutional strategy"

Lovas, Bjorn. Strategy as guided evolution. Fontainebleau: INSEAD, 1998.

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Lu, Jiang Yong. Co-evolution Strategy Canvas. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-5988-4.

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Lawrence, Freedman. The evolution of nuclear strategy. 2. Aufl. London: Macmillan in association with the International Institute for Strategic Studies, 1989.

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Lawrence, Freedman. The evolution of nuclear strategy. 2. Aufl. New York: St. Martin's Press, 1989.

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Freedman, Lawrence. The Evolution of Nuclear Strategy. London: Palgrave Macmillan UK, 1989. http://dx.doi.org/10.1007/978-1-349-20165-5.

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Freedman, Lawrence. The Evolution of Nuclear Strategy. London: Palgrave Macmillan UK, 2003. http://dx.doi.org/10.1057/9780230379435.

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Lawrence, Freedman. The Evolution of Nuclear Strategy. 3. Aufl. Houndmills, Basingstoke, Hampshire: Palgrave Macmillan, 2003.

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Freedman, Lawrence, und Jeffrey Michaels. The Evolution of Nuclear Strategy. London: Palgrave Macmillan UK, 2019. http://dx.doi.org/10.1057/978-1-137-57350-6.

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Nanda, Ravi. Evolution of national strategy of India. New Delhi, India: Lancers Books, 1987.

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L, Bartow William, Hrsg. Trade dress: Evolution, strategy, and practice. Oxford [UK]: Oxford University Press, 2012.

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Buchteile zum Thema "Evolutional strategy"

Gu, Xue, Ziyao Meng, Yanchun Liang, Dong Xu, Han Huang, Xiaosong Han und Chunguo Wu. „ESAE: Evolutionary Strategy-Based Architecture Evolution“. In Communications in Computer and Information Science, 193–208. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3425-6_16.

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Daniell, Mark. „The Evolution of Business Strategy“. In Strategy, 15–37. London: Palgrave Macmillan UK, 2004. http://dx.doi.org/10.1057/9780230522855_1.

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He, Jun, Feidun He und Hongbin Dong. „Pure Strategy or Mixed Strategy?“ In Evolutionary Computation in Combinatorial Optimization, 218–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29124-1_19.

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Lu, Jiang Yong. „Co-evolution“. In Co-evolution Strategy Canvas, 1–33. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5988-4_1.

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Watanabe, Keigo, und M. M. A. Hashem. „A Novel Evolution Strategy Algorithm“. In Evolutionary Computations, 21–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-39883-7_2.

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Schreer, Benjamin. „The Evolution of NATO’s Strategy in Afghanistan“. In Pursuing Strategy, 139–56. London: Palgrave Macmillan UK, 2012. http://dx.doi.org/10.1057/9780230364196_7.

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He, Yichao, Yingzhan Kou und Chunpu Shen. „An Improved Differential Evolution Based on Triple Evolutionary Strategy“. In Advances in Computation and Intelligence, 89–97. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-92137-0_10.

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Partridge, Charlyn. „Mating Strategy Equilibria“. In Encyclopedia of Evolutionary Psychological Science, 1–4. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-16999-6_2697-1.

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Partridge, Charlyn. „Mating Strategy Equilibria“. In Encyclopedia of Evolutionary Psychological Science, 4956–60. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-319-19650-3_2697.

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Smith, Jim, und T. C. Fogarty. „An adaptive poly-parental recombination strategy“. In Evolutionary Computing, 48–61. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/3-540-60469-3_24.

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Konferenzberichte zum Thema "Evolutional strategy"

Zeng, Dan, Sifa Zhang, Zhihua Cai, Siwei Jiang und Liangxiao Jiang. „Augmented Naive Bayes Based on Evolutional Strategy“. In 2006 6th International Conference on Intelligent Systems Design and Applications. IEEE, 2006. http://dx.doi.org/10.1109/isda.2006.113.

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Nyirarugira, C., und Tae Yong Kim. „Adaptive evolutional strategy of particle filter for real time object tracking“. In 2013 IEEE International Conference on Consumer Electronics (ICCE). IEEE, 2013. http://dx.doi.org/10.1109/icce.2013.6486784.

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Zhan, Zhi-Hui, und Jun Zhang. „Co-evolutionary differential evolution with dynamic population size and adaptive migration strategy“. In the 13th annual conference companion. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/2001858.2001977.

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Saire, Josimar Edinson Chire, und Atinesh Singh. „A Comparative Analysis of Quantum Inspired Evolutionary Algorithm with Differential Evolution, Evolutionary Strategy and Particle Swarm Optimization“. In 2019 IEEE Latin American Conference on Computational Intelligence (LA-CCI). IEEE, 2019. http://dx.doi.org/10.1109/la-cci47412.2019.9037039.

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Xie, Yingbo, Ying Hou, Junfei Qiao und Baocai Yin. „An Improved Decomposition-based Multi-objective Evolutionary Algorithm with Enhanced Differential Evolution Strategy“. In 2019 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 2019. http://dx.doi.org/10.1109/ssci44817.2019.9002905.

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He, Jun, Wei Hou, Hongbin Dong und Feidun He. „Mixed strategy may outperform pure strategy: An initial study“. In 2013 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2013. http://dx.doi.org/10.1109/cec.2013.6557618.

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TEIXEIRA, CHARLES, und CHARLES MALLINI. „A Shuttle evolution strategy“. In 27th Aerospace Sciences Meeting. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1989. http://dx.doi.org/10.2514/6.1989-88.

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Jagodzinski, Dariusz, und Jaroslaw Arabas. „A differential evolution strategy“. In 2017 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2017. http://dx.doi.org/10.1109/cec.2017.7969529.

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Izadinia, Hamid, und Mohammad Mehdi Ebadzadeh. „Quantum-Inspired Evolution Strategy“. In 2009 International Conference of Soft Computing and Pattern Recognition. IEEE, 2009. http://dx.doi.org/10.1109/socpar.2009.146.

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Ciarniello, Alberto. „Networks 2008 - Wireless Evolution Panel Session“. In 2008 13th International Telecommunications Network Strategy and Planning Symposium (NETWORKS). IEEE, 2008. http://dx.doi.org/10.1109/netwks.2008.4763749.

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Berichte der Organisationen zum Thema "Evolutional strategy"

Gage, Douglas W. An Evolutionary Strategy For Achieving Autonomous Navigation. Fort Belvoir, VA: Defense Technical Information Center, November 1998. http://dx.doi.org/10.21236/ada422374.

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Morabito, Robert E. Maritime Interdiction: The Evolution of a Strategy. Fort Belvoir, VA: Defense Technical Information Center, Februar 1991. http://dx.doi.org/10.21236/ada236449.

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Lekumu, Kadate. Evolution of Military Strategy in African States. Fort Belvoir, VA: Defense Technical Information Center, Februar 1990. http://dx.doi.org/10.21236/ada219756.

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ARMY CONCEPTS ANALYSIS AGENCY BETHESDA MD. Planning Environmental Resource Strategy Evolution and Utilization Study (PERSEUS). Fort Belvoir, VA: Defense Technical Information Center, Juli 1996. http://dx.doi.org/10.21236/ada316836.

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Benner, Stephen M. Evolution of Maritime Strategy...Is Sea Power the Answer? Fort Belvoir, VA: Defense Technical Information Center, Mai 2004. http://dx.doi.org/10.21236/ada423622.

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Hattendorf, John B. The Evolution of the U.S. Navy's Maritime Strategy, 1977-1986. Fort Belvoir, VA: Defense Technical Information Center, Januar 2003. http://dx.doi.org/10.21236/ada422147.

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Munoz Constantine, David. Forecasting Optimal Parameters of the Broken Wing Butterfly Option Strategy using Differential Evolution. Portland State University Library, Januar 2000. http://dx.doi.org/10.15760/etd.7515.

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Boyce, Lisa A., Paul A. Gade, Stephen J. Zaccaro und Richard J. Klimoski. Thinking Strategically About Army Strategic Leadership: Revolution or Evolution. Fort Belvoir, VA: Defense Technical Information Center, April 2000. http://dx.doi.org/10.21236/ada377891.

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Alberts, Henry. Joint Logistics Commanders Guidance for Use of Evolutionary Acquisition Strategy to Acquire Weapon Systems. Fort Belvoir, VA: Defense Technical Information Center, Mai 1995. http://dx.doi.org/10.21236/ada296175.

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Hirsch, Ed. Joint Logistics Commanders Guidance for Use of Evolutionary Acquisition Strategy to Acquire Weapon Systems. Fort Belvoir, VA: Defense Technical Information Center, Juni 1998. http://dx.doi.org/10.21236/ada352323.

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