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DC Field | Value | Language |
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dc.contributor.author | Yang, S | - |
dc.date.accessioned | 2011-09-23T11:25:25Z | - |
dc.date.available | 2011-09-23T11:25:25Z | - |
dc.date.issued | 2006 | - |
dc.identifier.citation | IEEE International Joint Conference on Neural Networks (IJCNN 2006): 2720 - 2727, 16-21 Jul 2006 | en_US |
dc.identifier.isbn | 0-7803-9490-9 | - |
dc.identifier.uri | http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1716466 | en |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/5847 | - |
dc.description | This article is posted here with permission from IEEE - Copyright @ 2006 IEEE | en_US |
dc.description.abstract | Job-shop scheduling is one of the most difficult production scheduling problems in industry. This paper proposes an adaptive neural network and local search hybrid approach for the job-shop scheduling problem. The adaptive neural network is constructed based on constraint satisfactions of job-shop scheduling and can adapt its structure and neuron connections during the solving process. The neural network is used to solve feasible schedules for the job-shop scheduling problem while the local search scheme aims to improve the performance by searching the neighbourhood of a given feasible schedule. The experimental study validates the proposed hybrid approach for job-shop scheduling regarding the quality of solutions and the computing speed. | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.subject | Adaptive scheduling | en_US |
dc.subject | Adaptive systems | en_US |
dc.subject | Computer science | en_US |
dc.subject | Constraint optimization | en_US |
dc.subject | Job production systems | en_US |
dc.subject | Job shop scheduling | en_US |
dc.subject | Neural networks | en_US |
dc.subject | Neurons | en_US |
dc.subject | Processor scheduling | en_US |
dc.subject | Sorting | en_US |
dc.title | Job-shop scheduling with an adaptive neural network and local search hybrid approach | en_US |
dc.type | Conference Paper | en_US |
dc.identifier.doi | http://dx.doi.org/10.1109/IJCNN.2006.247176 | - |
pubs.organisational-data | /Brunel | - |
pubs.organisational-data | /Brunel/Brunel (Active) | - |
pubs.organisational-data | /Brunel/Brunel (Active)/School of Info. Systems, Comp & Maths | - |
pubs.organisational-data | /Brunel/Research Centres (RG) | - |
pubs.organisational-data | /Brunel/Research Centres (RG)/CIKM | - |
pubs.organisational-data | /Brunel/School of Information Systems, Computing and Mathematics (RG) | - |
pubs.organisational-data | /Brunel/School of Information Systems, Computing and Mathematics (RG)/CIKM | - |
Appears in Collections: | Publications Computer Science Dept of Computer Science Research Papers |
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Fulltext.pdf | 417.21 kB | Adobe PDF | View/Open |
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