23 citations · 72 across the 29 of their papers we have counts for
8 papers · 1 filter
Novel Node-Based BAT for Finding All Minimal Cuts
Wei-Chang Yeh
The binary-state network, a basic network, and its components are either working or failed. It is fundamental to all types of current networks, such as utility networks (gas, water…
Newly Developed Flexible Grid Trading Model Combined ANN and SSO algorithm
Wei-Chang Yeh, Yu-Hsin Hsieh, Chia-Ling Huang
In modern society, the trading methods and strategies used in financial market have gradually changed from traditional on-site trading to electronic remote trading, and even online…
Development of a Parallel BAT and Its Applications in Binary-state Network Reliability Problems
Wei-Chang Yeh
Various networks are broadly and deeply applied in real-life applications. Reliability is the most important index for measuring the performance of all network types. Among the var…
Novel Recursive Inclusion-Exclusion Technology Based on BAT and MPs for Heterogeneous-Arc Binary-State Network Reliability Problems
Wei-Chang Yeh
Current network applications, such as utility networks (gas, water, electricity, and 4G/5G), the Internet of Things (IoT), social networks, and supply chains, are all based on bina…
QB-II for Evaluating the Reliability of Binary-State Networks
Wei-Chang Yeh
Current real-life applications of various networks such as utility (gas, water, electric, 4G/5G) networks, the Internet of Things, social networks, and supply chains. Reliability i…
A BAT-based Exact-Solution Algorithm for the Series-Parallel Redundancy Allocation Problem with Mixed Components
Wei-Chang Yeh
The series-parallel (active) redundancy allocation problem with mixed components (RAP) involves setting reliable objectives for components or subsystems to meet the resource consum…
Application of Long Short-Term Memory Recurrent Neural Networks Based on the BAT-MCS for Binary-State Network Approximated Time-Dependent Reliability Problems
Wei-Chang Yeh
Reliability is an important tool for evaluating the performance of modern networks. Currently, it is NP-hard and #P-hard to calculate the exact reliability of a binary-state networ…
Self-Adaptive Binary-Addition-Tree Algorithm-Based Novel Monte Carlo Simulation for Binary-State Network Reliability Approximation
Wei-Chang Yeh
The Monte Carlo simulation (MCS) is a statistical methodology used in a large number of applications. It uses repeated random sampling to solve problems with a probability interpre…