Showing 301 - 320 results of 2,096 for search '"evolutionary"', query time: 0.06s Refine Results
  1. 301

    Comparative Analysis of Linear and Nonlinear Pattern Synthesis of Hemispherical Antenna Array Using Adaptive Evolutionary Techniques by K. R. Subhashini, A. T. Praveen Kumar

    Published 2014-01-01
    “…Both ADE and AFA are a high-performance stochastic evolutionary algorithm used to solve N-dimensional problems. …”
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    Article
  2. 302
  3. 303

    Stakeholder Conflict Amplification of Large-Scale Engineering Projects in China: An Evolutionary Game Model on Complex Networks by Zhengqi He, Dechun Huang, Junmin Fang, Bo Wang

    Published 2020-01-01
    “…For the two main stakeholders of the government and the resident that play a key role in China’s large-scale engineering projects, this paper constructs an evolutionary game model of the main stakeholder conflict amplification and analyzes the evolutionary results of the conflict between the government and the resident in different situations. …”
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  4. 304

    A New Credit and Loan Lending Strategy and Credit in Banking Systems: An Evolutionary Game Theory Approach by Zohreh Lashgari, Alireza Bahiraie, Madjid Eshaghi Gordji

    Published 2022-01-01
    “…In this paper, authors offer one novel mathematical model of credit lending to customers based on evolutionary game theory, and the model presents an efficient and realistic approach. …”
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  5. 305

    Development of Communication Behaviour: Receiver Ontogeny in Túngara Frogs and a Prospectus for a Behavioural Evolutionary Development by Alexander T. Baugh, Kim L. Hoke, Michael J. Ryan

    Published 2012-01-01
    “…Given the essential role that acoustic communication serves in reproduction for many organisms and that receivers can exert strong influence on the evolution of signals, understanding the evolutionary developmental basis of mate recognition will provide new insights into the evolution of communication systems.…”
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  6. 306
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  8. 308

    A Support Vector Machine Model with Hyperparameters Optimised by Mind Evolutionary Algorithm for Assessing Permeability of Rock by Wenjin Zhu, Zhiming Chao, Guotao Ma

    Published 2020-01-01
    “…Based on the constructed database, a Support Vector Machine (SVM) model with hyperparameters optimised by Mind Evolutionary Algorithm (MEA) was proposed to predict the permeability of rock. …”
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    Article
  9. 309

    Evolutionary Game Theory-Based Evaluation of P2P File-Sharing Systems in Heterogeneous Environments by Yusuke Matsuda, Masahiro Sasabe, Tetsuya Takine

    Published 2010-01-01
    “…In addition, users have different degrees of cooperativity in file caching and they are in different surrounding environments arising from the topological structure of P2P networks. With evolutionary game theory, this paper evaluates the performance of P2P file sharing systems in such heterogeneous environments. …”
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  10. 310

    Research on Legitimacy Building and Governance of Transportation Service Platform Ecosystem Based on Three-Party Evolutionary Game by Qiaohong Pan, Wenping Luo, Zongyuan Liu, Mengmeng Luan

    Published 2025-01-01
    “…Based on the transportation service platform ecosystem, this study establishes a three-party evolutionary game model considering strategies of government, platforms, and suppliers, and analyzes the corresponding governance mechanisms. …”
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    Article
  11. 311

    A novel Fruit Fly Optimization Algorithm with quasi-affine transformation evolutionary for numerical optimization and application by Ru-Yu Wang, Pei Hu, Chia-Cheng Hu, Jeng-Shyang Pan

    Published 2022-02-01
    “…In response to this situation, this article proposes a new optimized structure—Quasi-affine Transformation evolutionary for the Fruit fly Optimization Algorithm. …”
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  12. 312

    Decision-Making Mechanism of Cooperative Innovation between Clients and Service Providers Based on Evolutionary Game Theory by Zhiyuan Xu, Jiming Cao, Yunhua Xu, Yeke Sun, Xingjing Zhang

    Published 2022-01-01
    “…Regarding this issue, an evolutionary game focusing on client-service provider cooperative innovation behavior is constructed and solved. …”
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  13. 313

    Morphological Characteristics, Mitochondrial Genome, and Evolutionary Insights Into a New Sea Squirt From the Beibu Gulf by Yichuan Zhang, Yuting Qin, Yueying Wu, Liping Liu, Wenguang Zhang, Ling Ding, Xiangpei Ya, Zhiting Wen, Kuaili Feng, Hong Wang, Yujun Wang

    Published 2025-01-01
    “…Except for the gene COX1, the mitochondrial genome arrangement of YZ‐2024 is totally different from that of 22 other species in the class Ascidiacea. Evolutionary analysis has indicated that YZ‐2024 clusters with its congeneric species Microcosmus sulcatus. …”
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  14. 314

    Evolutionary Prediction of Soil Loss from Observed Rainstorm Parameters in an Erosion Watershed Using Genetic Programming by Kennedy C. Onyelowe, Ahmed M. Ebid, Light Nwobia

    Published 2021-01-01
    “…In an attempt to monitor environmental degradation due to the impact of raindrop and its associated factors, this work has employed the learning abilities of genetic programming (GP) to predict soil loss deploying rainfall amount, kinetic energy, rainfall intensity, gully head advance, soil detachment, factored soil detachment, runoff, and runoff rate database collected over a three-year period as predictors. Three evolutionary trials were executed, and three models were presented considering different permutations of the predictors. …”
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  15. 315

    Chaotic evolutionary multi-objective optimization for multivariate pair trading in tehran stock exchange: the distance approach by Hossein Nikoo, Jamal Barzgari khanagha, Hamid Reza Mirzaei

    Published 2024-06-01
    “…In this method, chaos theory is used to create the initial population of the genetic algorithm in order to obtain appropriate and high-precision solutions.Findings: The results showed that the use of chaos theory could increase the degree of convergence in evolutionary algorithms. In addition, these results indicate the superiority of the multi-objective pair trading strategy based on the distance approach over the traditional single-objective model.Originality/Value: In order to optimize pair trading, the Non-dominated Sorting Genetic Algorithm was used. …”
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  16. 316

    Network Evolutionary Game-Based Diffusion Mechanism regarding the Nonperformance of Farmers in Agricultural Supply Chain Finance by Xiaoli Li, Yanming Sun

    Published 2022-01-01
    “…To prevent the rapid spread of farmers’ credit default behavior, the diffusion mechanism of farmers’ default behavior is studied with network evolutionary game. The results indicate the following: (a) When some farmers choose the default strategy because their default income is greater than their performance income, the default behavior in the small-world network will not spread to the whole network. …”
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  17. 317

    Evolutionary Game Theoretic Modeling and Repetition of Media Distributed Shared in P2P-Based VANET by Di Wu, He Liu, Yingrong Bi, Hongsong Zhu

    Published 2014-06-01
    “…Under such a presupposition, in this paper, we study the media provisions in P2P-based VANET and present a repeated game “More Pay for More Work (RGMPMW)” incentive mechanism based on service evaluation information. We also propose evolutionary game-based veracity (EGV) game model which exploits evolutionary game to guarantee the multimedia service share veracity of all vehicles in VANET. …”
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  18. 318
  19. 319

    Attracting pollinators vs escaping herbivores: eco-evolutionary dynamics of plants confronted with an ecological trade-off by Yacine, Youssef, Loeuille, Nicolas

    Published 2024-07-01
    “…As most studies focus on either pollination or herbivory, how they jointly affect the eco-evolutionary dynamics of plant-animal communities is often left unknown.  …”
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  20. 320

    Hybridizing Evolutionary Computation and Deep Neural Networks: An Approach to Handwriting Recognition Using Committees and Transfer Learning by Alejandro Baldominos, Yago Saez, Pedro Isasi

    Published 2019-01-01
    “…Neuroevolution is the field of study that uses evolutionary computation in order to optimize certain aspect of the design of neural networks, most often its topology and hyperparameters. …”
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