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Computer Science

D-Index
36
Citations
5446
World Ranking
11273
National Ranking
4654

Overview

Robert G. Reynolds is affiliated with Wayne State University in the United States. Their research spans multiple disciplines, primarily within Computer Science and Mathematics, with 28 publications in Computer Science and 18 in Mathematics.

Their work frequently focuses on Artificial Intelligence, Applied Mathematics, and Algebra and Number Theory. More specific subfields include Computer Vision and Pattern Recognition and Computational Mechanics.

Key topics addressed in their research are:

  • Mathematical functions and polynomials
  • Advanced Mathematical Identities
  • Evolutionary Algorithms and Applications
  • Metaheuristic Optimization Algorithms Research
  • Reinforcement Learning in Robotics
  • Artificial Intelligence in Games
  • Astronomical Observations and Instrumentation

Recent papers by Robert G. Reynolds include:

  • Evaluation of fan-beam kilovoltage computed tomography image quality on a novel biological-guided radiotherapy platform, 2023, Physics and Imaging in Radiation Oncology
  • Evolving Deep Neural Networks with Cultural Algorithms for Real-Time Industrial Applications, 2022, International Journal of Semantic Computing
  • Cultural Algorithms as a Framework for the Design of Trustable Evolutionary Algorithms, 2022, International Journal of Semantic Computing
  • Learning the Impact of Group Structure on Optimal Herd Path Planning with Cultural Algorithms, 2022, 2022 IEEE Congress on Evolutionary Computation (CEC)
  • Cultural Algorithm Guided Policy Gradient with Parameter Exploration, 2024, Proceedings of the AAAI Symposium Series

Frequent co-authors collaborating with Reynolds are:

  • Thomas Palazzolo
  • Chencheng Zhang
  • Sarah Saad
  • A D Stauffer
  • Ashley Lemke

Publication venues where Reynolds has contributed multiple works include:

  • arXiv (Cornell University)
  • International Journal of Semantic Computing
  • 2022 IEEE Congress on Evolutionary Computation (CEC)
  • Physics and Imaging in Radiation Oncology
  • Proceedings of the AAAI Symposium Series

Best Publications

  • Using knowledge-based evolutionary computation to solve nonlinear constraint optimization problems: a cultural algorithm approach

    Xidong Jin;R.G. Reynolds

  • An ensemble sinusoidal parameter adaptation incorporated with L-SHADE for solving CEC2014 benchmark problems

    Noor H. Awad;Mostafa Z. Ali;Ponnuthurai N. Suganthan;Robert G. Reynolds

  • Simulating ancient societies.

    Timothy A. Kohler;George J. Gumerman;Robert G. Reynolds

  • An Adaptive Multipopulation Differential Evolution With Dynamic Population Reduction

    Mostafa Z. Ali;Noor H. Awad;Ponnuthurai Nagaratnam Suganthan;Robert G. Reynolds

  • A Testbed for Solving Optimization Problems Using Cultural Algorithms.

    Chan-Jin Chung;Robert G. Reynolds

  • CAEP: AN EVOLUTION-BASED TOOL FOR REAL-VALUED FUNCTION OPTIMIZATION USING CULTURAL ALGORITHMS

    Chan-Jin Chung;Robert G. Reynolds

  • Cultural algorithms: theory and applications

    Robert G. Reynolds

  • Knowledge-based function optimization using fuzzy cultural algorithms with evolutionary programming

    R.G. Reynolds;Shinin Zhu

  • Evolutionary Programming VI

    Peter J. Angeline;Robert G. Reynolds;John R. McDonnell;Russ Eberhart

  • Cultural algorithms: modeling of how cultures learn to solve problems

    R.G. Reynolds;B. Peng

  • Using Cultural Algorithms for Constraint Handling in GENOCOP

    John R. McDonnell;Robert G. Reynolds;David B. Fogel

  • Knowledge-based self-adaptation in evolutionary programming using cultural algorithms

    R.G. Reynolds;ChanJin Chung

  • Docking Conformationally Flexible Small Molecules into a Protein Binding Site Through Evolutionary Programming

    John R. McDonnell;Robert G. Reynolds;David B. Fogel

  • Problem solving using cultural algorithms

    R.G. Reynolds;W. Sverdlik

  • The WCCI 2008 simulated car racing competition

    D. Loiacono;J. Togelius;P.L. Lanzi;L. Kinnaird-Heether

  • An improved class of real-coded Genetic Algorithms for numerical optimization✰

    Mostafa Z. Ali;Noor H. Awad;Ponnuthurai N. Suganthan;Ali M. Shatnawi

  • Using cultural algorithms to support re-engineering of rule-based expert systems in dynamic performance environments: a case study in fraud detection

    M. Sternberg;R.G. Reynolds

  • A self-adaptive approach to representation shifts in cultural algorithms

    R.G. Reynolds;ChanJin Chung

  • Knowledge-based solution to dynamic optimization problems using cultural algorithms

    Robert G. Reynolds;Saleh M. Saleem

  • An Evolutionary Programming Approach To Self-Adaptation On Finite State Machines

    John R. McDonnell;Robert G. Reynolds;David B. Fogel

  • Evolutionary computation: Towards a new philosophy of machine intelligence

    Robert G. Reynolds

Frequent Co-Authors

David B. Fogel
David B. Fogel Torrey Pines Institute For Molecular Studies
Jonathan I. Maletic
Jonathan I. Maletic Kent State University
Joyce Marcus
Joyce Marcus University of Michigan–Ann Arbor
Kent V. Flannery
Kent V. Flannery University of Michigan–Ann Arbor
Shiyong Lu
Shiyong Lu Wayne State University
Julian Togelius
Julian Togelius New York University
Karl R. Stapelfeldt
Karl R. Stapelfeldt Jet Propulsion Lab
Bernard P. Zeigler
Bernard P. Zeigler University of Arizona
Michael F. Skrutskie
Michael F. Skrutskie University of Virginia

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