A5012456515- Reliability and Maintenance Optimization
- Software Reliability and Analysis Research
- Risk and Safety Analysis
- Metaheuristic Optimization Algorithms Research
- Power System Reliability and Maintenance
- Probabilistic and Robust Engineering Design
- Scheduling and Optimization Algorithms
- Advanced Manufacturing and Logistics Optimization
- Evolutionary Algorithms and Applications
- Advanced Battery Technologies Research
- Face and Expression Recognition
- Cloud Computing and Resource Management
- Advanced Multi-Objective Optimization Algorithms
- Vehicle Routing Optimization Methods
- Statistical Distribution Estimation and Applications
- Smart Grid Security and Resilience
- IoT and Edge/Fog Computing
- Advanced Image and Video Retrieval Techniques
- Neural Networks and Applications
- Video Surveillance and Tracking Methods
- Advanced Algorithms and Applications
- Multi-Criteria Decision Making
- Manufacturing Process and Optimization
- Assembly Line Balancing Optimization
- Advanced Neural Network Applications
National Tsing Hua University
2016-2025
The University of Sydney
2008-2016
National Chung Hsing University
2016
Biogen (United States)
2015
Industrial Technology Research Institute
2015
University of Technology Sydney
2011-2013
Chung Yuan Christian University
2013
Ta Hwa University of Science and Technology
2013
Information Technology University
2012
The University of Queensland
2011
Reliability optimization has been a popular area of research, and received significant attention due to the critical importance reliability in various kinds systems. Most network problems are only focused on solving simple structured networks (e.g., series-parallel networks) which function can be easily obtained advance. However, modern usually very complex, it is impossible calculate exact by using traditional analytical methods limited time. Hence, new particle swarm (PSO) based Monte...
A new soft computing method called the parameter-free simplified swarm optimization (SSO)-based artificial neural network (ANN), or improved SSO for short, is proposed to adjust weights in ANNs. The a modification of SSO, and seeks overcome some drawbacks SSO. In experiments, iSSO compared with five other famous methods, including backpropagation algorithm, genetic particle (PSO) cooperative random learning PSO, its performance tested on time-series benchmark data two ANN models (multilayer...
Transportation planning has been established as a key topic in the literature and social production practices. An increasing number of researchers are studying vehicle routing problems (VRPs) their variants considering real-life applications scenarios. Furthermore, with rapid growth processing speed memory capacity computers, various algorithms can be used to solve increasingly complex instances VRPs. In this study, we analyzed recent published between 2019 August 2021 using taxonomic...
The end-of-life (EOL) disassembly sequencing problem (DSP) has become increasingly important in the process of handling EOL products. This paper proposes a solution procedure for "EOL DSP"; is based on novel soft-computing algorithm that utilizes modified "simplified swarm optimization," and combines precedence preservative operator, feasible generator, self-adaptive parameter control, repetitive pairwise exchange procedures. By taking into consideration non-deterministic polynomial time...
Many real-world systems, such as electric power and transportation, satisfy the flow conservation law, can be considered to multistate networks (MFN). Reliability is a popular index for evaluating MFN performance, sum-of-disjoint products (SDP) technique tool reliability. An improved SDP (iSDP) proposed in this study by adding simplification procedures reduce number of multiplications summations increase efficiency SDP; validity effectiveness iSDP also demonstrated study. The iSDP's...