Differential evolution for economic load dispatch problems
By Nasimul Noman, Hitoshi Iba. 2008
522 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/3f074fd30695d310c4e85557211f003c07995f55
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In Control and Systems Engineering
- Rui Bo
- Xiaohua Xia
- Behnam Mohammadi-Ivatloo
- T. Raghunathan
- Hongbin Sun
- Mehdi Ehsan
- T. Jayabarathi
- Aniruddha Bhattacharya
In Electrical and Electronic Engineering
- Behnam Mohammadi-Ivatloo
- Abbas Rabiee
- Alireza Soroudi
- Mehdi Ehsan
- Aniruddha Bhattacharya
- Pranab Kumar Chattopadhyay
- Rui Bo
- Fangxing Li
Citations in the corpus
- Imperialist competitive algorithm for solving non-convex dynamic economic power dispatch (2012, unknown): “Method Best Cost ($) DE [18] 1019786 EP-SQP[25] 1031746 PSO-SQP[29] 1027334 DGPSO [13] 1028835 MHEP-SQP [26] 1028924 IPSO [14] 1023807 HDE [19] 1031077 IDE [20] 1026269 ABC [6] 1021576 MDE [21] 1031612 CMAES [15] 1023740 AIS [10] 1021980 HHS [3] 1019091 AIS-SQP[11] 1029900 CS-DE [16] 1023432 CDE [22”
- A hybrid GA–PS–SQP method to solve power system valve-point economic dispatch problems (2010, methodology): “The GA–PS–SQP algorithm has been executed a hundred times and the results and comparison with other methods from [5,9,13,19] are given in Tables 5 and 6, respectively, while Figs.”
- Economic Load Dispatch—A Comparative Study on Heuristic Optimization Techniques With an Improved Coordinated Aggregation-Based PSO (2009, methodology): “In this application the obtained results are compared with those given by SA-PSO [2], BF-NM [5], APSO [6], DE [8], AIS [13], NPSO-LRS [15], ESO [18], [19], and PSO [24].”
- Hybrid SOA–SQP algorithm for dynamic economic dispatch with valve-point effects (2010, methodology): “The SOA is based on the concept of simulating the act of human searching, where the search direction is based on the empirical gradient (EG) by evaluating the response to the position changes and the step length is based on uncertainty reasoning by using a simple fuzzy rule.”
- Optimal dynamic economic dispatch of generation: A review (2010, methodology): “[73] N.”
- Iteration PSO with time varying acceleration coefficients for solving non-convex economic dispatch problems (2012, methodology): “The obtained results are presented in Table 4 and compared with the results of hybrid genetic algorithm (HGA) [40], differential evolution (DE) [20], FAPSO-VDE [13] and improved coordinated aggregation-based PSO (ICA-PSO) algorithm [41].”