2010
DOI: 10.1016/j.eswa.2009.06.023
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A parallelized DPPQN based Expert System method and implementation

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Cited by 2 publications
(4 citation statements)
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“…1 is the simulation level of our approach. In lower level, the methods we employed for solving (2) in Level-I, solving (3) in Level-II, solving (6) and (7) in Level-IV are the DPPQN-based algorithm [21]. Remark 1.…”
Section: Flow Chart Of the Four Levels Oo-based Methodsmentioning
confidence: 99%
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“…1 is the simulation level of our approach. In lower level, the methods we employed for solving (2) in Level-I, solving (3) in Level-II, solving (6) and (7) in Level-IV are the DPPQN-based algorithm [21]. Remark 1.…”
Section: Flow Chart Of the Four Levels Oo-based Methodsmentioning
confidence: 99%
“…; x c N Þ; the to-be-placed capacitors and the switchable capacitors used in all load cases in (1) (7) is a Quadratic Programming Problem of large network systems. The simulation method for solving (7) is of the DPPQN-based algorithm [21]. We let Dx ⁄ (l r ) denote the optimal solution of (7), thenxðl r Þ ¼ x c þ Dx à ðl r Þ is an approximate solution of (1) for the given …”
Section: Level-iimentioning
confidence: 99%
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