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dc.contributor.authorYen, Shi-Jimen_US
dc.contributor.authorChen, Wei-Liangen_US
dc.contributor.authorChen, Jr-Changen_US
dc.contributor.authorHsu, Shun-Chinen_US
dc.contributor.authorWu, I-Chenen_US
dc.date.accessioned2015-12-02T03:00:57Z-
dc.date.available2015-12-02T03:00:57Z-
dc.date.issued2014-01-01en_US
dc.identifier.isbn978-1-4799-5464-3en_US
dc.identifier.issnen_US
dc.identifier.urihttp://hdl.handle.net/11536/128592-
dc.description.abstractUnit 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.isoen_USen_US
dc.subjectEnergy Managementen_US
dc.subjectUnit Commitment Problemen_US
dc.subjectDifferential Evolution Algorithmen_US
dc.titleAn Improved Differential Evolution Algorithm with Priority Calculation for Unit Commitment Problemen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2014 IEEE INTERNATIONAL CONFERENCE ON GRANULAR COMPUTING (GRC)en_US
dc.citation.spage352en_US
dc.citation.epage357en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000361138800067en_US
dc.citation.woscount0en_US
Appears in Collections:Conferences Paper