Please use this identifier to cite or link to this item:
|Title:||Integrated framework for devising optimum generation schedules|
|Authors:||Srinivasan, Dipti |
Tettamanzi, Andrea G.B.
|Citation:||Srinivasan, Dipti,Tettamanzi, Andrea G.B. (1995). Integrated framework for devising optimum generation schedules. Proceedings of the IEEE Conference on Evolutionary Computation 1 : 1-4. ScholarBank@NUS Repository.|
|Abstract:||An integrated framework for generating optimum unit commitment and dispatch schedules is presented in this paper. The work reported here employs a hybrid technique by which a genetic population can be confined to a set of feasible solutions. Heuristics are used to ensure that all the constraints, both linear and nonlinear, are fulfilled for each member of the population. The use of this technique, which combines the advantages of knowledge-based methods with the strengths of evolutionary algorithms, results in considerable reduction in computing time, making its application viable in daily operation scheduling.|
|Source Title:||Proceedings of the IEEE Conference on Evolutionary Computation|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Jan 12, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.