World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
6370
World Ranking
8486
National Ranking
74

Overview

Kuo-Ching Ying is affiliated with National Taipei University of Technology in Taiwan and has made significant contributions to the field of engineering, particularly within industrial and manufacturing engineering.

They have a prolific research output with a focus on scheduling and optimization algorithms, advanced manufacturing and logistics optimization, and assembly line balancing optimization. Their work also spans optimization and search problems, manufacturing process and optimization, optimization and packing problems, and additive manufacturing and 3D printing technologies.

Their research has been frequently published in several key venues, including:

  • Annals of Operations Research
  • Computers & Industrial Engineering
  • Applied Soft Computing
  • IEEE Access
  • Expert Systems with Applications

Some recent papers authored or co-authored by Kuo-Ching Ying include:

  • "Cyber-physical assembly system-based optimization for robotic assembly sequence planning," 2021, Journal of Manufacturing Systems
  • "Deep learning-based optimization for motion planning of dual-arm assembly robots," 2021, Computers & Industrial Engineering
  • "Supply chain-oriented permutation flowshop scheduling considering flexible assembly and setup times," 2020, International Journal of Production Research

Other notable recent papers, relevant to the broader field of construction and optimization, are:

  • "Artificial Intelligence in the Construction Industry: Main Development Trajectories and Future Outlook," 2022, Applied Sciences
  • "Multi-temperature simulated annealing for optimizing mixed-blocking permutation flowshop scheduling problems," 2020, Expert Systems with Applications

Kuo-Ching Ying collaborates frequently with several researchers in the field, including:

  • Pourya Pourhejazy
  • Shih-Wei Lin
  • Chen-Yang Cheng
  • Shufen Li
  • Po-Jui Fu

Their research is mainly concentrated in engineering (108 publications), with a strong subfield focus on industrial and manufacturing engineering (98 publications). Other subfields include computer networks and communications, automotive engineering, building and construction, and control and systems engineering.

Best Publications

  • Particle swarm optimization for parameter determination and feature selection of support vector machines

    Shih-Wei Lin;Kuo-Ching Ying;Shih-Chieh Chen;Zne-Jung Lee

  • An intelligent algorithm with feature selection and decision rules applied to anomaly intrusion detection

    Shih-Wei Lin;Kuo-Ching Ying;Chou-Yuan Lee;Zne-Jung Lee

  • An ant colony system for permutation flow-shop sequencing

    Kuo-Ching Ying;Ching-Jong Liao

  • Minimising makespan in distributed permutation flowshops using a modified iterated greedy algorithm

    Shih-Wei Lin;Kuo-Ching Ying;Chien-Yi Huang

  • Applying hybrid meta-heuristics for capacitated vehicle routing problem

    Shih-Wei Lin;Zne-Jung Lee;Kuo-Ching Ying;Chou-Yuan Lee

  • Minimizing makespan for the distributed hybrid flowshop scheduling problem with multiprocessor tasks

    Kuo-Ching Ying;Shih-Wei Lin;Shih-Wei Lin;Shih-Wei Lin

  • Multiprocessor task scheduling in multistage hybrid flow-shops: an ant colony system approach

    Kuo-Ching Ying;Shih-Wei Lin

  • An enhanced ant colony optimization (EACO) applied to capacitated vehicle routing problem

    Chou-Yuan Lee;Zne-Jung Lee;Shih-Wei Lin;Kuo-Ching Ying

  • Minimizing makespan for solving the distributed no-wait flowshop scheduling problem

    Shih-Wei Lin;Kuo-Ching Ying

  • Iterated reference greedy algorithm for solving distributed no-idle permutation flowshop scheduling problems

    Kuo-Ching Ying;Shih-Wei Lin;Shih-Wei Lin;Chen-Yang Cheng;Cheng-Ding He

  • Robust scheduling on a single machine to minimize total flow time

    Chung-Cheng Lu;Shih-Wei Lin;Kuo-Ching Ying

  • Dynamic parallel machine scheduling with sequence-dependent setup times using an iterated greedy heuristic

    Kuo-Ching Ying;Hui-Miao Cheng

  • Optimization of makespan for no-wait flowshop scheduling problems using efficient matheuristics

    Shih-Wei Lin;Shih-Wei Lin;Kuo-Ching Ying

  • Makespan minimization for scheduling unrelated parallel machines with setup times

    Kuo-Ching Ying;Zne-Jung Lee;Shih-Wei Lin

  • Sequencing single-machine tardiness problems with sequence dependent setup times using an iterated greedy heuristic

    Kuo-Ching Ying;Shih-Wei Lin;Chien-Yi Huang

  • Solving single-machine total weighted tardiness problems with sequence-dependent setup times by meta-heuristics

    Shih-Wei Lin;Kuo-Ching Ying

  • ABC-based manufacturing scheduling for unrelated parallel machines with machine-dependent and job sequence-dependent setup times

    Shih-Wei Lin;Kuo-Ching Ying

  • Minimizing makespan in a blocking flowshop using a revised artificial immune system algorithm

    Shih-Wei Lin;Kuo-Ching Ying

  • Solving non-permutation flowshop scheduling problems by an effective iterated greedy heuristic

    Kuo-Ching Ying

  • Minimizing makespan and total flowtime in permutation flowshops by a bi-objective multi-start simulated-annealing algorithm

    Shih-Wei Lin;Kuo-Ching Ying

  • Real-time relief distribution in the aftermath of disasters - A rolling horizon approach

    Chung-Cheng Lu;Kuo Ching Ying;Hui Ju Chen

Frequent Co-Authors

Shih-Wei Lin
Shih-Wei Lin Chang Gung University
Jatinder N. D. Gupta
Jatinder N. D. Gupta University of Alabama in Huntsville

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