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Conference Paper: Multi-agent optimization design for multi-resource job shop scheduling problems
| Title | Multi-agent optimization design for multi-resource job shop scheduling problems |
|---|---|
| Authors | |
| Issue Date | 2007 |
| Citation | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2007, v. 4682 LNAI, p. 1193-1204 How to Cite? |
| Abstract | As a practical generalization of the job shop scheduling problem, multi-resource job shop scheduling problem (MRJSSP) is discussed in this paper. In this problem, operations may be processed by a type of resources and jobs have individual deadlines. How to design and optimize this problem with DSAFO, a novel multi-agent algorithm, is introduced in detail by a case study, including problem analysis, agent role specification, and parameter selection. Experimental results show the effectiveness and efficiency of designing and optimizing MRJSSPs with multi-agent. © Springer-Verlag Berlin Heidelberg 2007. |
| Persistent Identifier | http://hdl.handle.net/10722/230799 |
| ISSN | 2023 SCImago Journal Rankings: 0.606 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Xue, Fan | - |
| dc.contributor.author | Fan, Wei | - |
| dc.date.accessioned | 2016-09-01T06:06:50Z | - |
| dc.date.available | 2016-09-01T06:06:50Z | - |
| dc.date.issued | 2007 | - |
| dc.identifier.citation | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2007, v. 4682 LNAI, p. 1193-1204 | - |
| dc.identifier.issn | 0302-9743 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/230799 | - |
| dc.description.abstract | As a practical generalization of the job shop scheduling problem, multi-resource job shop scheduling problem (MRJSSP) is discussed in this paper. In this problem, operations may be processed by a type of resources and jobs have individual deadlines. How to design and optimize this problem with DSAFO, a novel multi-agent algorithm, is introduced in detail by a case study, including problem analysis, agent role specification, and parameter selection. Experimental results show the effectiveness and efficiency of designing and optimizing MRJSSPs with multi-agent. © Springer-Verlag Berlin Heidelberg 2007. | - |
| dc.language | eng | - |
| dc.relation.ispartof | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | - |
| dc.title | Multi-agent optimization design for multi-resource job shop scheduling problems | - |
| dc.type | Conference_Paper | - |
| dc.description.nature | link_to_subscribed_fulltext | - |
| dc.identifier.scopus | eid_2-s2.0-38049029210 | - |
| dc.identifier.volume | 4682 LNAI | - |
| dc.identifier.spage | 1193 | - |
| dc.identifier.epage | 1204 | - |
| dc.identifier.eissn | 1611-3349 | - |
| dc.identifier.issnl | 0302-9743 | - |