World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
43
Citations
6223
World Ranking
6275
National Ranking
57

Overview

R. J. Kuo is affiliated with the National Taiwan University of Science and Technology in Taiwan and has contributed extensively to the fields of Computer Science and Engineering. Their research spans a range of specialized subfields, particularly focusing on Artificial Intelligence, Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition, Information Systems, and Marketing.

Their work addresses several core topics including Advanced Clustering Algorithms Research, Vehicle Routing Optimization Methods, Metaheuristic Optimization Algorithms Research, Recommender Systems and Techniques, Multi-Criteria Decision Making, UAV Applications and Optimization, and Digital Marketing and Social Media.

Recent papers authored by R. J. Kuo include:

  • "Vehicle routing problem with drones considering time windows" (2021) published in Expert Systems with Applications
  • "Applying particle swarm optimization algorithm-based collaborative filtering recommender system considering rating and review" (2023) published in Applied Soft Computing
  • "Application of improved multi-objective particle swarm optimization algorithm to solve disruption for the two-stage vehicle routing problem with time windows" (2023) published in Expert Systems with Applications
  • "Applying NSGA-II to vehicle routing problem with drones considering makespan and carbon emission" (2023) published in Expert Systems with Applications

R. J. Kuo has frequently published in venues such as Applied Soft Computing, Expert Systems with Applications, Soft Computing, Computers & Industrial Engineering, and Information Sciences.

Collaborative work is a significant element of their research activity. Frequent co-authors include Thi Phuong Quyen Nguyen, Ferani E. Zulvia, Shih-Hao Lu, Setyo Tri Windras Mara, and Maya Cendana.

Best Publications

  • Integration of self-organizing feature map and K-means algorithm for market segmentation

    R. J. Kuo;L. M. Ho;C. M. Hu

  • Application of particle swarm optimization to association rule mining

    R. J. Kuo;C. M. Chao;Y. T. Chiu

  • A hybrid of genetic algorithm and particle swarm optimization for solving bi-level linear programming problem – A case study on supply chain model

    R.J. Kuo;Y.S. Han

  • A sales forecasting system based on fuzzy neural network with initial weights generated by genetic algorithm

    Unknown

  • Integration of particle swarm optimization-based fuzzy neural network and artificial neural network for supplier selection

    R.J. Kuo;S.Y. Hong;Y.C. Huang

  • Application of ant K-means on clustering analysis

    R. J. Kuo;H. S. Wang;Tung-Lai Hu;S. H. Chou

  • A many-objective gradient evolution algorithm for solving a green vehicle routing problem with time windows and time dependency for perishable products

    Unknown

  • Application of particle swarm optimization algorithm for solving bi-level linear programming problem

    R. J. Kuo;C. C. Huang

  • Vehicle Routing Problem with Drones Considering Time Windows

    R.J. Kuo;Shih-Hao Lu;Pei-Yu Lai;Setyo Tri Windras Mara

  • Integration of particle swarm optimization and genetic algorithm for dynamic clustering

    Unknown

  • A decision support system for sales forecasting through fuzzy neural networks with asymmetric fuzzy weights

    R. J. Kuo;K. C. Xue

  • Location-routing problem: a classification of recent research

    Unknown

  • An intelligent sales forecasting system through integration of artificial neural networks and fuzzy neural networks with fuzzy weight elimination

    R. J. Kuo;P. Wu;C. P. Wang

  • Application of a hybrid of genetic algorithm and particle swarm optimization algorithm for order clustering

    R. J. Kuo;L. M. Lin

  • Hybrid particle swarm optimization with genetic algorithm for solving capacitated vehicle routing problem with fuzzy demand - A case study on garbage collection system

    Unknown

  • Integration of self-organizing feature maps neural network and genetic K-means algorithm for market segmentation

    R. J. Kuo;Y. L. An;H. S. Wang;W. J. Chung

  • Multi-sensor integration for on-line tool wear estimation through radial basis function networks and fuzzy neural network

    R. J. Kuo;P. H. Cohen

  • A decision support system for order selection in electronic commerce based on fuzzy neural network supported by real-coded genetic algorithm

    Ren Jie Kuo;J. A. Chen

  • Integration of ART2 neural network and genetic K-means algorithm for analyzing web browsing paths in electronic commerce

    R. J. Kuo;J. L. Liao;C. Tu

  • Mining association rules through integration of clustering analysis and ant colony system for health insurance database in Taiwan

    R. J. Kuo;S. Y. Lin;C. W. Shih

  • Association rule mining through the ant colony system for National Health Insurance Research Database in Taiwan

    R. J. Kuo;C. W. Shih

  • Cluster analysis in industrial market segmentation through artificial neural network

    R. J. Kuo;L. M. Ho;C. M. Hu

  • Simulation optimization using particle swarm optimization algorithm with application to assembly line design

    R. J. Kuo;C. Y. Yang

  • Developing a diagnostic system through integration of fuzzy case-based reasoning and fuzzy ant colony system

    R. J. Kuo;Y. P. Kuo;Kai-Ying Chen

  • Integration of Self-Organizing Feature Maps and Genetic-Algorithm-Based Clustering Method for Market Segmentation

    R. J. Kuo;K. Chang;S. Y. Chien

  • An application of a metaheuristic algorithm-based clustering ensemble method to APP customer segmentation

    R.J. Kuo;C.H. Mei;F.E. Zulvia;C.Y. Tsai

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