Wei-Chang Yeh mostly deals with Mathematical optimization, Reliability, Swarm behaviour, Algorithm and Computational complexity theory. Wei-Chang Yeh has researched Mathematical optimization in several fields, including Redundancy, Sequence and Job shop scheduling. His studies in Swarm behaviour integrate themes in fields like Genetic algorithm, Particle swarm optimization, Multi-swarm optimization and Soft computing.
His study in Algorithm is interdisciplinary in nature, drawing from both Flow and Path. He connects Computational complexity theory with Simple in his study. His Artificial intelligence research focuses on Data mining and how it connects with Wavelet transform.
Wei-Chang Yeh spends much of his time researching Mathematical optimization, Algorithm, Reliability, Particle swarm optimization and Swarm behaviour. His Mathematical optimization research is multidisciplinary, relying on both Redundancy and Job shop scheduling. His Algorithm research incorporates elements of Node and Reliability theory.
Wei-Chang Yeh has included themes like Flow, Flow network, Computational complexity theory, Correctness and Path in his Reliability study. Wei-Chang Yeh interconnects Video tracking and Evolutionary algorithm, Artificial intelligence in the investigation of issues within Particle swarm optimization. Wei-Chang Yeh focuses mostly in the field of Swarm behaviour, narrowing it down to topics relating to Local search and, in certain cases, Linear programming.
Wei-Chang Yeh focuses on Algorithm, Mathematical optimization, Particle swarm optimization, Swarm behaviour and Reliability. His work carried out in the field of Algorithm brings together such families of science as Classifier and Convolution. His Mathematical optimization research includes themes of Fuzzy number, Fuzzy logic and Benchmark.
The Particle swarm optimization study combines topics in areas such as Linear programming, Facility location problem, Artificial intelligence and Pattern recognition. His Swarm behaviour study combines topics from a wide range of disciplines, such as Distributed computing, Assignment problem, Local search, Soft computing and Redundancy. His work deals with themes such as Time complexity, Flow and Data mining, which intersect with Reliability.
His primary areas of investigation include Mathematical optimization, Swarm behaviour, Algorithm, Redundancy and Reliability. His research ties Computation and Mathematical optimization together. His Swarm behaviour study frequently links to related topics such as Assignment problem.
The various areas that Wei-Chang Yeh examines in his Algorithm study include Segmentation and Image segmentation. The study incorporates disciplines such as Swarm intelligence and Soft computing in addition to Redundancy. While the research belongs to areas of Reliability, Wei-Chang Yeh spends his time largely on the problem of Fast algorithm, intersecting his research to questions surrounding Time complexity.
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Using multi-objective genetic algorithm for partner selection in green supply chain problems
Wei-Chang Yeh;Mei-Chi Chuang.
Expert Systems With Applications (2011)
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.
soft computing (2011)
Solving reliability redundancy allocation problems using an artificial bee colony algorithm
Wei-Chang Yeh;Tsung-Jung Hsieh.
Computers & Operations Research (2011)
A two-stage discrete particle swarm optimization for the problem of multiple multi-level redundancy allocation in series systems
Expert Systems With Applications (2009)
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.
Expert Systems With Applications (2009)
A revised layered-network algorithm to search for all d-minpaths of a limited-flow acyclic network
IEEE Transactions on Reliability (1998)
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.
IEEE Transactions on Reliability (2010)
A simple approach to search for all d-MCs of a limited-flow network
Reliability Engineering & System Safety (2001)
Feature selection with Intelligent Dynamic Swarm and Rough Set
Changseok Bae;Wei-Chang Yeh;Yuk Ying Chung;Sin-Long Liu.
Expert Systems With Applications (2010)
Parameters extraction of solar cell models using a modified simplified swarm optimization algorithm
Peijie Lin;Shuying Cheng;Weichang Yeh;Zhicong Chen.
Solar Energy (2017)
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