H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Mathematics H-index 35 Citations 4,048 97 World Ranking 1394 National Ranking 7
Computer Science H-index 45 Citations 6,464 129 World Ranking 3593 National Ranking 20

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Mathematical optimization

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.

His most cited work include:

  • Particle swarm optimization for parameter determination and feature selection of support vector machines (629 citations)
  • Parameter determination of support vector machine and feature selection using simulated annealing approach (245 citations)
  • A simulated annealing heuristic for the capacitated location routing problem (198 citations)

What are the main themes of his work throughout his whole career to date?

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.

He most often published in these fields:

  • Mathematical optimization (89.02%)
  • Job shop scheduling (61.59%)
  • Simulated annealing (50.61%)

What were the highlights of his more recent work (between 2018-2021)?

  • Job shop scheduling (61.59%)
  • Mathematical optimization (89.02%)
  • Benchmark (34.15%)

In recent papers he was focusing on the following fields of study:

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.

Between 2018 and 2021, his most popular works were:

  • Team orienteering problem with time windows and time-dependent scores (10 citations)
  • Team orienteering problem with time windows and time-dependent scores (10 citations)
  • Team orienteering problem with time windows and time-dependent scores (10 citations)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

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)

903 Citations

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)

363 Citations

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)

339 Citations

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)

222 Citations

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)

209 Citations

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)

166 Citations

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)

156 Citations

A simulated annealing heuristic for the team orienteering problem with time windows

Shih-Wei Lin;Vincent F. Yu.
European Journal of Operational Research (2012)

137 Citations

Multiprocessor task scheduling in multistage hybrid flow-shops: an ant colony system approach

Kuo-Ching Ying;Shih-Wei Lin.
International Journal of Production Research (2006)

130 Citations

Dynamic parking negotiation and guidance using an agent-based platform

Shuo-Yan Chou;Shih-Wei Lin;Chien-Chang Li.
Expert Systems With Applications (2008)

119 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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