World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
69
Citations
19879
World Ranking
1968
National Ranking
994

Research.com Recognitions

  • 2009 - IEEE Fellow For contribution to intelligent systems and control

Overview

Gary G. Yen is affiliated with Oklahoma State University in the United States. Their research primarily spans the fields of Computer Science and Engineering, with a focus on subfields such as Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Aerospace Engineering, and Control and Systems Engineering.

The scientist's research covers several main topics, including:

  • Metaheuristic Optimization Algorithms Research
  • Advanced Multi-Objective Optimization Algorithms
  • Evolutionary Algorithms and Applications
  • Advanced Neural Network Applications
  • Neural Networks and Applications
  • Machine Learning and Data Classification
  • Anomaly Detection Techniques and Applications

Recent papers authored or co-authored by Gary G. Yen include:

  • "Automatically Designing CNN Architectures Using the Genetic Algorithm for Image Classification," 2020, IEEE Transactions on Cybernetics
  • "Knee Point-Based Imbalanced Transfer Learning for Dynamic Multiobjective Optimization," 2020, IEEE Transactions on Evolutionary Computation
  • "A reinforcement learning approach for dynamic multi-objective optimization," 2020, Information Sciences
  • "Multiobjective Evolution Strategy for Dynamic Multiobjective Optimization," 2020, IEEE Transactions on Evolutionary Computation
  • "On the estimation of pareto front and dimensional similarity in many-objective evolutionary algorithm," 2021, Information Sciences

Frequent co-authors working with Gary G. Yen include:

  • Yanan Sun
  • Jun Zhang
  • Yang Tang
  • Bing Xue
  • Mengjie Zhang

Their frequent publication venues reflect contributions to multiple IEEE journals and other sources, including:

  • IEEE Transactions on Evolutionary Computation
  • Information Sciences
  • arXiv (Cornell University)
  • IEEE Transactions on Cybernetics
  • IEEE Transactions on Neural Networks and Learning Systems

Gary G. Yen has contributed to book publications under major publishers such as Springer Science+Business Media and Springer Nature. Notable books include:

  • "Advances in Swarm Intelligence," 2022, Springer Science+Business Media
  • "Evolutionary Deep Neural Architecture Search: Fundamentals, Methods, and Recent Advances," 2022, Springer Nature

In recognition of their work, Gary G. Yen was named an IEEE Fellow in 2009 for contributions to intelligent systems and control.

Best Publications

  • Problems with fitting to the power-law distribution

    M. L. Goldstein;S. A. Morris;G. G. Yen

  • Wavelet packet feature extraction for vibration monitoring

    G.G. Yen;K.-C. Lin

  • Automatically Designing CNN Architectures Using the Genetic Algorithm for Image Classification

    Yanan Sun;Bing Xue;Mengjie Zhang;Gary G. Yen

  • IGD Indicator-Based Evolutionary Algorithm for Many-Objective Optimization Problems

    Yanan Sun;Gary G. Yen;Zhang Yi

  • Evolving Deep Convolutional Neural Networks for Image Classification

    Yanan Sun;Bing Xue;Mengjie Zhang;Gary G. Yen

  • Constraint Handling in Multiobjective Evolutionary Optimization

    Y.G. Woldesenbet;G.G. Yen;B.G. Tessema

  • A Survey on Evolutionary Neural Architecture Search.

    Yuqiao Liu;Yanan Sun;Bing Xue;Mengjie Zhang

  • A generic framework for constrained optimization using genetic algorithms

    S. Venkatraman;G.G. Yen

  • Transfer Learning-Based Dynamic Multiobjective Optimization Algorithms

    Min Jiang;Zhongqiang Huang;Liming Qiu;Wenzhen Huang

  • Particle swarm optimization of deep neural networks architectures for image classification

    Francisco Erivaldo Fernandes Junior;Gary G. Yen

  • Fuzzy-Based Pareto Optimality for Many-Objective Evolutionary Algorithms

    Zhenan He;Gary G. Yen;Jun Zhang

  • Time line visualization of research fronts

    Steven A. Morris;G. Yen;Zheng Wu;Benyam Asnake

  • Completely Automated CNN Architecture Design Based on Blocks

    Yanan Sun;Bing Xue;Mengjie Zhang;Gary G. Yen

  • A Self Adaptive Penalty Function Based Algorithm for Constrained Optimization

    B. Tessema;G.G. Yen

  • A Multimodal Multiobjective Evolutionary Algorithm Using Two-Archive and Recombination Strategies

    Yiping Liu;Gary G. Yen;Dunwei Gong

  • Adaptive Multiobjective Particle Swarm Optimization Based on Parallel Cell Coordinate System

    Wang Hu;Gary G. Yen

  • Dynamic multiobjective evolutionary algorithm: adaptive cell-based rank and density estimation

    G.G. Yen;Haiming Lu

  • An Adaptive Penalty Formulation for Constrained Evolutionary Optimization

    B. Tessema;G.G. Yen

  • Rank-density-based multiobjective genetic algorithm and benchmark test function study

    Haiming Lu;G.G. Yen

  • Surrogate-Assisted Evolutionary Deep Learning Using an End-to-End Random Forest-Based Performance Predictor

    Yanan Sun;Handing Wang;Bing Xue;Yaochu Jin

  • PSO-Based Multiobjective Optimization With Dynamic Population Size and Adaptive Local Archives

    Wen-Fung Leong;G.G. Yen

  • Performance Metric Ensemble for Multiobjective Evolutionary Algorithms

    Gary G. Yen;Zhenan He

Frequent Co-Authors

Mengjie Zhang
Mengjie Zhang Victoria University of Wellington
Bing Xue
Bing Xue Victoria University of Wellington
Anthony N. Michel
Anthony N. Michel University of Notre Dame
Zhang Yi
Zhang Yi Sichuan University
Hisao Ishibuchi
Hisao Ishibuchi Southern University of Science and Technology
Jürgen Kurths
Jürgen Kurths Potsdam Institute for Climate Impact Research
Lixin Tang
Lixin Tang Northeastern University
Yang Tang
Yang Tang East China University of Science and Technology
Xiangxiang Zeng
Xiangxiang Zeng Hunan University
Han-Xiong Li
Han-Xiong Li City University of Hong Kong

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