World's Best Scientists 2026 revealed!

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Computer Science

D-Index
54
Citations
9608
World Ranking
4643
National Ranking
34

Overview

Wei-Chang Yeh is affiliated with National Tsing Hua University in Taiwan and has contributed extensively to the fields of engineering and computer science. Their research is concentrated in multiple subfields including safety, risk, reliability and quality; software; statistics, probability and uncertainty; control and systems engineering; and artificial intelligence.

Their body of work includes a significant focus on reliability and maintenance optimization, software reliability and analysis research, risk and safety analysis, power system reliability and maintenance, smart grid security and resilience, metaheuristic optimization algorithms research, and probabilistic and robust engineering design.

Wei-Chang Yeh has published numerous papers in recognized venues, with some of the most frequent publication platforms being arXiv (Cornell University), Reliability Engineering & System Safety, Applied Sciences, Electronics, and IEEE Access.

Among recent papers authored or co-authored by Wei-Chang Yeh are:

  • New genetic algorithm for economic dispatch of stand-alone three-modular microgrid in DongAo Island, 2020, Applied Energy
  • A quick BAT for evaluating the reliability of binary-state networks, 2021, Reliability Engineering & System Safety

Additional recent papers (co-authored with others) relevant to this scientific area include:

  • Enhancing MOEA/D with information feedback models for large-scale many-objective optimization, 2020, Information Sciences
  • The Vehicle Routing Problem: State-of-the-Art Classification and Review, 2021, Applied Sciences
  • DLEA: A dynamic learning evolution algorithm for many-objective optimization, 2021, Information Sciences

Frequent collaborators include Chia-Ling Huang, Shi-Yi Tan, Wenbo Zhu, Yunzhi Jiang, and Zhenyao Liu, with collaboration counts ranging from 9 to 22 joint works. This suggests a consistent engagement within a collaborative research network.

Best Publications

  • Using multi-objective genetic algorithm for partner selection in green supply chain problems

    Wei-Chang Yeh;Mei-Chi Chuang

  • Forecasting stock markets using wavelet transforms and recurrent neural networks: An integrated system based on artificial bee colony algorithm

    Tsung-Jung Hsieh;Hsiao-Fen Hsiao;Wei-Chang Yeh

  • Solving reliability redundancy allocation problems using an artificial bee colony algorithm

    Wei-Chang Yeh;Tsung-Jung Hsieh

  • A two-stage discrete particle swarm optimization for the problem of multiple multi-level redundancy allocation in series systems

    Wei-Chang Yeh

  • Enhancing MOEA/D with information feedback models for large-scale many-objective optimization

    Yin Zhang;Gai-Ge Wang;Keqin Li;Wei-Chang Yeh

  • A new hybrid approach for mining breast cancer pattern using discrete particle swarm optimization and statistical method

    Wei-Chang Yeh;Wei-Wen Chang;Yuk Ying Chung

  • Parameters extraction of solar cell models using a modified simplified swarm optimization algorithm

    Peijie Lin;Shuying Cheng;Weichang Yeh;Zhicong Chen

  • A Particle Swarm Optimization Approach Based on Monte Carlo Simulation for Solving the Complex Network Reliability Problem

    Wei-Chang Yeh;Yi-Cheng Lin;Yuk Ying Chung;Mingchang Chih

  • A revised layered-network algorithm to search for all d-minpaths of a limited-flow acyclic network

    Wei-Chang Yeh

  • New Parameter-Free Simplified Swarm Optimization for Artificial Neural Network Training and its Application in the Prediction of Time Series

    Wei-Chang Yeh

  • Feature selection with Intelligent Dynamic Swarm and Rough Set

    Changseok Bae;Wei-Chang Yeh;Yuk Ying Chung;Sin-Long Liu

  • A simple approach to search for all d-MCs of a limited-flow network

    Wei-Chang Yeh

  • An improved sum-of-disjoint-products technique for the symbolic network reliability analysis with known minimal paths

    Wei-Chang Yeh

  • The Vehicle Routing Problem: State-of-the-Art Classification and Review

    Unknown

  • Optimization of the Disassembly Sequencing Problem on the Basis of Self-Adaptive Simplified Swarm Optimization

    Wei-Chang Yeh

  • A simple minimal path method for estimating the weighted multi-commodity multistate unreliable networks reliability

    Wei-Chang Yeh

  • Simplified swarm optimization in disassembly sequencing problems with learning effects

    Wei-Chang Yeh

  • A Hybrid Heuristic Algorithm For The Multistage Supply Chain Network Problem

    Wei-Chang Yeh

  • Forecasting wind power in the Mai Liao Wind Farm based on the multi-layer perceptron artificial neural network model with improved simplified swarm optimization

    Wei-Chang Yeh;Wei-Chang Yeh;Yuan-Ming Yeh;Po-Chun Chang;Yun-Chin Ke

  • Multistate network reliability evaluation under the maintenance cost constraint

    Wei-Chang Yeh

  • A Simple Algorithm To Search For All D-Mps With Unreliable Nodes

    Wei-Chang Yeh

  • Simplified Swarm Optimization Algorithm for reliability redundancy allocation problems

    Chia-Ling Huang;Wei-Chang Yeh

Frequent Co-Authors

Xiangjian He
Xiangjian He University of Technology Sydney
Wen-Chiung Lee
Wen-Chiung Lee Feng Chia University
Gai-Ge Wang
Gai-Ge Wang Ocean University of China
Ming J. Zuo
Ming J. Zuo University of Alberta
Ren Ping Liu
Ren Ping Liu University of Technology Sydney
Gregory Levitin
Gregory Levitin Southwest Jiaotong University
Raja Jurdak
Raja Jurdak Queensland University of Technology
Longbing Cao
Longbing Cao University of Technology Sydney
Keqin Li
Keqin Li State University of New York at New Paltz
Kea-Tiong Tang
Kea-Tiong Tang National Tsing Hua University

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