Adaptive particle swarm optimization approach for static and dynamic economic load dispatch

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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].”
Optimal dynamic economic dispatch of generation: A review (2010, background): “[75] B.”
A GA-API Solution for the Economic Dispatch of Generation in Power System Operation (2012, background): “to the CPU time per iteration/generation [17], [18], [20], [21], [28].”
Economic Load Dispatch—A Comparative Study on Heuristic Optimization Techniques With an Improved Coordinated Aggregation-Based PSO (2009, methodology): “In this application the results are compared with those given by SA-PSO [2], SOH-PSO [4], BF-NM [5], APSO [6], DE [8], PSO-CG [9], DSGA [10], AIS [13], HDE and VSHDE [14], IGAMU [16], ESO [18], [19], PSO [24].”
A survey of swarm intelligence for dynamic optimization: Algorithms and applications (2017, methodology): “The dynamic economic dispatch (DED) problem has been extensively studied by SI algorithms such as BFO [242], PSO [243, 244, 245, 246], FA [247], AFSO [248] and ABC algorithms [249, 250, 251, 252, 253].”