Auswahl der wissenschaftlichen Literatur zum Thema „Evolutional strategy“

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Zeitschriftenartikel zum Thema "Evolutional strategy"

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Ding, Yangke, Lei Ma, Ye Zhang, and 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, no. 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 mix
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Yao, Kong, Bong Yang, Xing Zu Wang, and 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, ac
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Wang, Xing Zu, Bo Yang, Kong Yao, and 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
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Smirnov, Sergei Vladimirovich. "STRATEGY OF SOCIO-BIO-ECO-CO-EVOLUTIONAL DEVELOPMENT: ESSENTIAL ASPECTS, BACKGROUNDS FOR REALIZATION." Manuscript, no. 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, and N. Sugimura. "Evolutional reactive scheduling for agile manufacturing systems." International Journal of Production Research 44, no. 18-19 (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, no. 6 (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 microeconom
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Li, Qian, and Yuanfei Kang. "Knowledge Sharing Willingness and Leakage Risk: An Evolutional Game Model." Sustainability 11, no. 3 (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 enabl
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Moriwaki, Toshimichi, and Keiichi Shirase. "Intelligent machine tools: current status and evolutional architecture." International Journal of Manufacturing Technology and Management 9, no. 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 (October 14, 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
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Wang, Xing Wei, Yong Jian Sun, Wei Gang Hou, Min Huang, and 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
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Dissertationen zum Thema "Evolutional strategy"

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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 resul
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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 f
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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 p
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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
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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 lev
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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.<br>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"

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

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Lu, Jiang Yong. Co-evolution Strategy Canvas. 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. 2nd ed. Macmillan in association with the International Institute for Strategic Studies, 1989.

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Lawrence, Freedman. The evolution of nuclear strategy. 2nd ed. St. Martin's Press, 1989.

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

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Lawrence, Freedman. The Evolution of Nuclear Strategy. 3rd ed. Palgrave Macmillan, 2003.

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Freedman, Lawrence, and Jeffrey Michaels. The Evolution of Nuclear Strategy. 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. Lancers Books, 1987.

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L, Bartow William, ed. Trade dress: Evolution, strategy, and practice. Oxford University Press, 2012.

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Buchteile zum Thema "Evolutional strategy"

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Gu, Xue, Ziyao Meng, Yanchun Liang, et al. "ESAE: Evolutionary Strategy-Based Architecture Evolution." In Communications in Computer and Information Science. 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. Palgrave Macmillan UK, 2004. http://dx.doi.org/10.1057/9780230522855_1.

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He, Jun, Feidun He, and Hongbin Dong. "Pure Strategy or Mixed Strategy?" In Evolutionary Computation in Combinatorial Optimization. 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. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5988-4_1.

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Watanabe, Keigo, and M. M. A. Hashem. "A Novel Evolution Strategy Algorithm." In Evolutionary Computations. 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. Palgrave Macmillan UK, 2012. http://dx.doi.org/10.1057/9780230364196_7.

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He, Yichao, Yingzhan Kou, and Chunpu Shen. "An Improved Differential Evolution Based on Triple Evolutionary Strategy." In Advances in Computation and Intelligence. 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. 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. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-319-19650-3_2697.

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

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Konferenzberichte zum Thema "Evolutional strategy"

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Zeng, Dan, Sifa Zhang, Zhihua Cai, Siwei Jiang, and 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., and 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, and Jun Zhang. "Co-evolutionary differential evolution with dynamic population size and adaptive migration strategy." In the 13th annual conference companion. ACM Press, 2011. http://dx.doi.org/10.1145/2001858.2001977.

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Saire, Josimar Edinson Chire, and 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, and 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, and 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, and CHARLES MALLINI. "A Shuttle evolution strategy." In 27th Aerospace Sciences Meeting. American Institute of Aeronautics and Astronautics, 1989. http://dx.doi.org/10.2514/6.1989-88.

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Jagodzinski, Dariusz, and 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, and 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"

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

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

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Lekumu, Kadate. Evolution of Military Strategy in African States. Defense Technical Information Center, 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). Defense Technical Information Center, 1996. http://dx.doi.org/10.21236/ada316836.

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Benner, Stephen M. Evolution of Maritime Strategy...Is Sea Power the Answer? Defense Technical Information Center, 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. Defense Technical Information Center, 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, 2000. http://dx.doi.org/10.15760/etd.7515.

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Boyce, Lisa A., Paul A. Gade, Stephen J. Zaccaro, and Richard J. Klimoski. Thinking Strategically About Army Strategic Leadership: Revolution or Evolution. Defense Technical Information Center, 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. Defense Technical Information Center, 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. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada352323.

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