Balancing risk and cost in fuzzy economic dispatch including wind power penetration based on particle swarm optimization

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A multi-objective chaotic ant swarm optimization for environmental/economic dispatch (2010, methodology): “Different techniques have been reported in the literature pertaining to EED problem, including conventional approaches such as weightedminimaxmethod [6], direct analytical solutionmethod [7], linear programming [7–9] and 1-constraint method [10], and artificial intelligence technology such as geneti”
A Versatile Probability Distribution Model for Wind Power Forecast Errors and Its Application in Economic Dispatch (2013, methodology): “Some heuristic algorithms, such as particle swarm algorithm [18], genetic algorithm [19] and simulated annealing algorithm [20], are deemed as the only option to solve the ED problem with wind power, although they do not always guarantee a globally optimal solution [21].”
A bare-bones multi-objective particle swarm optimization algorithm for environmental/economic dispatch (2012, methodology): “A straightforward constraint checking approach, called the rejecting strategy, was proposed in [10,39,40] to deal with the constraints of the EED problem.”