Mathematical optimization, Simulated annealing, Artificial intelligence, Scheduling and Job shop scheduling are his primary areas of study. Shih-Wei Lin has researched Mathematical optimization in several fields, including Vehicle routing problem and Benchmark. His Simulated annealing study is concerned with the larger field of Algorithm.
His work in Artificial intelligence covers topics such as Pattern recognition which are related to areas like Particle swarm optimization and Computer vision. His Scheduling research is multidisciplinary, relying on both Artificial immune system and Artificial immune system algorithm. Shih-Wei Lin interconnects Data mining and Support vector machine in the investigation of issues within Feature selection.
Shih-Wei Lin spends much of his time researching Mathematical optimization, Job shop scheduling, Simulated annealing, Scheduling and Benchmark. As part of one scientific family, Shih-Wei Lin deals mainly with the area of Mathematical optimization, narrowing it down to issues related to the Tardiness, and often Due date. His Job shop scheduling research is multidisciplinary, incorporating perspectives in Algorithm, Integer programming and Problem set.
His work on Adaptive simulated annealing as part of general Simulated annealing research is frequently linked to Schedule, thereby connecting diverse disciplines of science. In general Scheduling study, his work on Fair-share scheduling, Single-machine scheduling and Sequence-dependent setup often relates to the realm of Multiprocessing, thereby connecting several areas of interest. His Benchmark research incorporates themes from Orienteering, Heuristic and Operations research.
His primary areas of study are Job shop scheduling, Mathematical optimization, Benchmark, Simulated annealing and Scheduling. Many of his studies on Mathematical optimization involve topics that are commonly interrelated, such as Machine scheduling. His biological study spans a wide range of topics, including Algorithm and Problem set.
His Simulated annealing study incorporates themes from Range, Location routing, Hybrid algorithm and Reduction. His Scheduling research includes themes of Meta heuristic, Scheduling and Job shop. The concepts of his Scheduling study are interwoven with issues in Local search and Heuristics.
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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.
Expert Systems With Applications (2008)
Parameter determination of support vector machine and feature selection using simulated annealing approach
Shih-Wei Lin;Zne-Jung Lee;Shih-Chieh Chen;Tsung-Yuan Tseng.
soft computing (2008)
A simulated annealing heuristic for the capacitated location routing problem
Vincent F. Yu;Shih-Wei Lin;Wenyih Lee;Ching-Jung Ting.
Computers & Industrial Engineering (2010)
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.
soft computing (2012)
Solving the truck and trailer routing problem based on a simulated annealing heuristic
Shih-Wei Lin;Vincent F. Yu;Shuo-Yan Chou.
Computers & Operations Research (2009)
Applying hybrid meta-heuristics for capacitated vehicle routing problem
Shih-Wei Lin;Zne-Jung Lee;Kuo-Ching Ying;Chou-Yuan Lee.
Expert Systems With Applications (2009)
A simulated annealing heuristic for the truck and trailer routing problem with time windows
Shih-Wei Lin;Vincent F. Yu;Chung-Cheng Lu.
Expert Systems With Applications (2011)
Minimising makespan in distributed permutation flowshops using a modified iterated greedy algorithm
Shih-Wei Lin;Kuo-Ching Ying;Chien-Yi Huang.
International Journal of Production Research (2013)
A simulated annealing heuristic for the team orienteering problem with time windows
Shih-Wei Lin;Vincent F. Yu.
European Journal of Operational Research (2012)
Dynamic parking negotiation and guidance using an agent-based platform
Shuo-Yan Chou;Shih-Wei Lin;Chien-Chang Li.
Expert Systems With Applications (2008)
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