A modified differential evolution approach for dynamic economic dispatch with valve-point effects

By Xiaohui Yuan, Liang Wang, Yanbin Yuan, Yongchuan Zhang, Bo Cao, Bo Yang. 2008

152 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Optimal dynamic economic dispatch of generation: A review (2010, methodology): “[53] used DE algorithm to solve the DED problem with valve-point effects.”
A hybrid MILP and IPM approach for dynamic economic dispatch with valve-point effects (2017, methodology): “In order to have a fair comparison regarding the computational effort, the CPU chip frequency from the used computer is used to convert the CPU times obtained from different methods into a common base for comparison [36]:”
Imperialist competitive algorithm for solving non-convex dynamic economic power dispatch (2012, methodology): “These include GA [1], quantum GA (QGA) [19], artificial immune system method [20], artificial bee colony algorithm (ABC) [21], PSO [16, 17, 22, 23], multiple TS (MTS) algorithm [24], enhanced cross-entropy method [25], and SA algorithm [26].”
A Mixed Integer Quadratic Programming for Dynamic Economic Dispatch With Valve Point Effect (2014, methodology): “In order to compare the run time on the same basis, the scaled CPU is used and it is computed as follows [5]:”
Dynamic economic dispatch of a microgrid: Mathematical models and solution algorithm (2014, methodology): “There are many modern heuristics stochastic optimization techniques in recent years, such as Hopfield neural networks [19,20], evolutionary program [21–23], genetic algorithm [24,25], differential evolution algorithm [26,27].”