Thematische Bibliographien / Evolutional strategy

Inhaltsverzeichnis

  1. Zeitschriftenartikel
  2. Dissertationen
  3. Bücher
  4. Buchteile
  5. Konferenzberichte
  6. Berichte der Organisationen

Auswahl der wissenschaftlichen Literatur zum Thema „Evolutional strategy“

Autor: Grafiati
Veröffentlicht am 28. Juni 2021
Zuletzt aktualisiert am 29. Juli 2025

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Zeitschriftenartikel zum Thema "Evolutional strategy"

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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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Boyko, U. A. "Risk Management for Auto Enterprise Development Strategy." Izvestiya MGTU MAMI 4, no. 1 (2010): 229–32. http://dx.doi.org/10.17816/2074-0530-69750.

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Developing an evolutional strategy for auto-enterprise after finishing the global crisis is based on choosing an optimal way to go with a financial limitation in an enterprise. An important stage of selection process is a risk analysis.
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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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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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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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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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Li, Yancang, and Wanqing Li. "Adaptive Ant Colony Optimization Algorithm Based on Information Entropy: Foundation and Application." Fundamenta Informaticae 77, no. 3 (2007): 229–42. https://doi.org/10.3233/fun-2007-77303.

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In order to solve the premature convergence problem of the basic Ant Colony Optimization algorithm, a promising modification based on the information entropy is proposed. The main idea is to evaluate stability of the current space of represented solutions using information entropy, which is then applied to turning of the algorithm's parameters. The path selection and evolutional strategy are controlled by the information entropy self-adaptively. Simulation study and performance comparison with other Ant Colony Optimization algorithms and other meta-heuristics on Traveling Salesman Problem show
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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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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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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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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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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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Loo, Sara Li-Yen. "Mathematical Modelling of the Evolution of Human Behaviours and Strategic Choice." Thesis, The University of Sydney, 2019. http://hdl.handle.net/2123/20210.

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Evolutionary anthropology seeks answers to the eternal philosophical question: how have we come to be? Studies in evolutionary anthropology attempt to explain the evolution of uniquely human behaviours by investigating the mechanisms that drive different trajectories. In this thesis dynamic mathematical models are built to investigate the tradeoffs defining divergent evolutionary pathways of strategic choice. This is done by comparing evolutionary equilibria at great ape-like and hunter-gatherer-like life histories. One investigation considers the evolution of pair bonding in humans. Mate gua
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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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Bücher zum Thema "Evolutional strategy"

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1947-, Kagono Tadao, ed. Strategic vs. evolutionary management: AU.S.-Japan comparison of strategy and organization. North-Holland, 1985.

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P, Barnett William, and Burgelman Robert A, eds. Evolutionary perspectives on strategy. Wiley, 1996.

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P, Barnett William, and Burgelman Robert A, eds. Evolutionary perspectives on strategy. Wiley, 1996.

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1948-, Arrington Barbara, ed. The Evolution of strategy. Foundation of the American College of Healthcare Executives, 1990.

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

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1947-, Kagono Tadao, ed. Strategic vs. evolutionary management: A U.S.-Japan comparison of strategy and organization. North-Holland, 1985.

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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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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, 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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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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Alhaddi, Hanan. "Strategy Tiers." In Monarch: Resilience through Evolution. Productivity Press, 2025. https://doi.org/10.4324/9781003564133-14.

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Alhaddi, Hanan. "Strategy Imperative." In Monarch: Resilience through Evolution. Productivity Press, 2025. https://doi.org/10.4324/9781003564133-16.

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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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Rzepka, Agnieszka. "Strategy." In Evolution of Management in a Post-Pandemic World. Routledge, 2025. https://doi.org/10.4324/9781032707785-19.

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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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Alhaddi, Hanan. "Negotiating Your Strategy." In Monarch: Resilience through Evolution. Productivity Press, 2025. https://doi.org/10.4324/9781003564133-15.

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Konferenzberichte zum Thema "Evolutional strategy"

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Escobar-Cuevas, Hector, Erik Cuevas, Alberto L. Chang, et al. "Differential Evolution Search Strategy Enhancement Through Evolutionary Game Theory." In 2024 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2024. http://dx.doi.org/10.1109/cec60901.2024.10612179.

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Corle, Ethan, Kevin Ferguson, and Sven Schmitz. "Parallel Evolutionary Optimization for Rotorcraft Design." In Vertical Flight Society 72nd Annual Forum & Technology Display. The Vertical Flight Society, 2016. http://dx.doi.org/10.4050/f-0072-2016-11396.

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A parallel evolutionary strategy is coupled to a comprehensive analysis tool, RCAS, for rotorcraft optimization and design. The evolutionary structure is based on the Covariance Matrix Adaptation Evolution Strategy, CMA-ES, which has proven to be a viable optimization method for rotorcraft problems. Computational efficiency tests show that for a 8 core optimization, the parallel implementation of CMA-ES, pCMA-ES, can result in a significant speedup over the serial counterpart. The pCMA-ES is applied to two active device optimizations problems. First, a previously conducted uniform inflow optim
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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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Li, Chunhua, Xiaojiang Guo, Xuhui Shen, and Yijing Chen. "an evolutional control strategy to mitigate commutation failure of multi-infeed HVDC." In 2023 IEEE 6th International Electrical and Energy Conference (CIEEC). IEEE, 2023. http://dx.doi.org/10.1109/cieec58067.2023.10166430.

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Yu, Zhengliang, Fan Li, and Kai Zhang. "Evolution Strategy based Evolutionary Algorithm for RNA Secondary Structure Prediction." In ICMLSC 2022: 2022 The 6th International Conference on Machine Learning and Soft Computing. ACM, 2022. http://dx.doi.org/10.1145/3523150.3523159.

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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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Wang, Shuo, Zhenhua Li, and Minghui Hu. "Evolutionary Reinforcement Learning by Rank-one Evolution Strategy with Population Size Control." In 9th International Conference on Computational Intelligence and Security. Research Publishing (S) Pte. Ltd., 2023. http://dx.doi.org/10.3850/978-981-18-8813-7_p236-cd.

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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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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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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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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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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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