New approach with a Hopfield modeling framework to economic dispatch

By C. Su, Chien-Tung Lin. 2000

267 citations recorded by the source corpus.

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Economic dispatch using chaotic bat algorithm (2016, methodology): “The cost coefficients and B-coefficients data are taken from [16].”
Hybrid Differential Evolution With Biogeography-Based Optimization for Solution of Economic Load Dispatch (2010, methodology): “Genetic algorithm [3], artificial neural networks [4], simulated annealing [5], tabu search, evolutionary programming [6], particle swarm optimization, [7], ant colony optimization [8], differential evolution (DE) [9], artificial immune system (AIS) [10], bacterial foraging algorithm (BFA) [11], etc”
Grey wolf optimization applied to economic load dispatch problems (2016, methodology): “In the recent years, complex constrained optimization problems are solved by many artificial intelligent methods such as Hopfield neural network (HNN) [10,11] and adaptive HNN [12].”
Firefly Algorithm for solving non-convex economic dispatch problems with valve loading effect (2012, background): “In traditional ED approaches, the nput–output characteristics (or cost function) of a generator is pproximately shown by utilizing a single quadratic function.”
Biogeography-Based Optimization for Different Economic Load Dispatch Problems (2010, methodology): “The result obtained from proposed BBO algorithm has been compared with Lambda iteration [4] and Hopfield model [4].”