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  • Search: person:"Hsu, Peng-Hsiang"
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Year of publication
Subject
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Learning process 3 Lernprozess 3 Scheduling problem 3 Scheduling-Verfahren 3 Branch and Bound 2 Branch-and-Bound 2 Theorie 2 Theory 2 Durchlaufzeit 1 Evolutionary algorithm 1 Evolutionärer Algorithmus 1 Lead time 1 Scheduling 1 Terminplanung 1 Time scheduling 1 genetic algorithm 1 truncated learning function 1
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Undetermined 2
Type of publication
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Article 9
Type of publication (narrower categories)
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Article in journal 3 Aufsatz in Zeitschrift 3
Language
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Undetermined 6 English 3
Author
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Hsu, Peng-Hsiang 6 Wu, Chin-Chia 6 Hsu, Peng-hsiang 3 Lee, Wen-Chiung 3 Cheng, Shuenn-Ren 2 Cheng, T.C.E. 2 Wu, Chin-chia 2 Chen, Juei-chao 1 Lee, Wen-chiung 1 Li, Der-Chiang 1 Li, Der-chiang 1 Wang, Nae-sheng 1 Wu, Wen-Hsiang 1 Wu, Wen-Hung 1 Yin, Yunqiang 1
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Published in...
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Omega : the international journal of management science 3 Computers & industrial engineering : CAIE ; an internat. journal 2 Computers & operations research : and their applications to problems of world concern ; an international journal 2 Asia-Pacific Journal of Operational Research (APJOR) 1 Omega 1
Source
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OLC EcoSci 4 ECONIS (ZBW) 3 RePEc 2
Showing 1 - 9 of 9
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Genetic Algorithm for a Two-Agent Scheduling Problem with Truncated Learning Consideration
Wu, Wen-Hsiang; Yin, Yunqiang; Cheng, Shuenn-Ren; Hsu, … - In: Asia-Pacific Journal of Operational Research (APJOR) 31 (2014) 06, pp. 1450046-1
Scheduling with learning effects has received lots of research attention lately. However, the multiple-agent setting with learning consideration is relatively limited. On the other hand, the actual processing time of a job under an uncontrolled learning effect will drop to zero precipitously as...
Persistent link: https://www.econbiz.de/10011099486
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Solving a two-agent single-machine scheduling problem considering learning effect
Li, Der-chiang; Hsu, Peng-hsiang - In: Computers & operations research : and their … 39 (2012) 7, pp. 1644-1651
Persistent link: https://www.econbiz.de/10009408329
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Genetic algorithm for minimizing the total weighted completion time scheduling problem with learning and release times
Wu, Chin-chia; Hsu, Peng-hsiang; Chen, Juei-chao; Wang, … - In: Computers & operations research : and their … 38 (2011) 7, pp. 1025-1034
Persistent link: https://www.econbiz.de/10008806938
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Two-machine flowshop scheduling with truncated learning to minimize the total completion time
Li, Der-Chiang; Hsu, Peng-Hsiang; Wu, Chin-Chia; Cheng, … - In: Computers & industrial engineering : CAIE ; an … 61 (2011) 3, pp. 655-663
Persistent link: https://www.econbiz.de/10009331260
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A two-agent single-machine scheduling problem with truncated sum-of-processing-times-based learning considerations
Cheng, T.C.E.; Cheng, Shuenn-Ren; Wu, Wen-Hung; Hsu, … - In: Computers & industrial engineering : CAIE ; an … 60 (2011) 4, pp. 534-542
Persistent link: https://www.econbiz.de/10008884786
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A single-machine learning effect scheduling problem with release times
Lee, Wen-Chiung; Wu, Chin-Chia; Hsu, Peng-Hsiang - In: Omega 38 (2010) 1-2, pp. 3-11
In this paper, we investigate a single-machine problem with the learning effect and release times where the objective is to minimize the makespan. A branch-and-bound algorithm incorporating with several dominance properties and lower bounds is developed to derive the optimal solution. A...
Persistent link: https://www.econbiz.de/10008521597
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Our secret code
Lee, Wen-Chiung; Wu, Chin-Chia; Hsu, Peng-Hsiang - In: Omega : the international journal of management science 38 (2010) 1, pp. 1-3
Persistent link: https://www.econbiz.de/10008347901
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A single-machine learning effect scheduling problem with release times
Lee, Wen-Chiung; Wu, Chin-Chia; Hsu, Peng-Hsiang - In: Omega : the international journal of management science 38 (2010) 1, pp. 3-12
Persistent link: https://www.econbiz.de/10008894471
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A single-machine learning effect scheduling problem with release times
Lee, Wen-chiung; Wu, Chin-chia; Hsu, Peng-hsiang - In: Omega : the international journal of management science 38 (2009/10) 1/2, pp. 3-11
Persistent link: https://www.econbiz.de/10003897635
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