Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yen, Shi-Jim | en_US |
dc.contributor.author | Chen, Wei-Liang | en_US |
dc.contributor.author | Chen, Jr-Chang | en_US |
dc.contributor.author | Hsu, Shun-Chin | en_US |
dc.contributor.author | Wu, I-Chen | en_US |
dc.date.accessioned | 2015-12-02T03:00:57Z | - |
dc.date.available | 2015-12-02T03:00:57Z | - |
dc.date.issued | 2014-01-01 | en_US |
dc.identifier.isbn | 978-1-4799-5464-3 | en_US |
dc.identifier.issn | en_US | |
dc.identifier.uri | http://hdl.handle.net/11536/128592 | - |
dc.description.abstract | Unit Commitment Problem (UCP) is a high-dimensional, discrete and non-linear optimization problem which is complicated so that it is difficult to find the optimal solution. This paper proposes a new method, called improved priority differential evolution (IPDE), based on differential evolution algorithm and priority calculation to solve UCP. We increased the speed of convergence and the accuracy of solution by means of adjusting individual, using penalty function and calculating priority. Compared with other algorithms, IPDE obtains better feasible solutions in different complexity. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | Energy Management | en_US |
dc.subject | Unit Commitment Problem | en_US |
dc.subject | Differential Evolution Algorithm | en_US |
dc.title | An Improved Differential Evolution Algorithm with Priority Calculation for Unit Commitment Problem | en_US |
dc.type | Proceedings Paper | en_US |
dc.identifier.journal | 2014 IEEE INTERNATIONAL CONFERENCE ON GRANULAR COMPUTING (GRC) | en_US |
dc.citation.spage | 352 | en_US |
dc.citation.epage | 357 | en_US |
dc.contributor.department | 資訊工程學系 | zh_TW |
dc.contributor.department | Department of Computer Science | en_US |
dc.identifier.wosnumber | WOS:000361138800067 | en_US |
dc.citation.woscount | 0 | en_US |
Appears in Collections: | Conferences Paper |