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J.-B. Park, K.-S. Lee, J.-R. Shin and K. Y. Lee, “A Particle Swarm Optimization for Economic Dispatch with Nonsmooth Cost Function,” IEEE Transactions on Power Systems, Vol. 20, No. 1, 2005, pp. 34-42.
http://dx.doi.org/10.1109/TPWRS.2004.831275

has been cited by the following article:

• TITLE: Cuckoo Search for Solving Economic Dispatch Load Problem

  AUTHORS: Adriane B. S. Serapião

  KEYWORDS: Economic Dispatch Load; Cuckoo Search Algorithm; Swarm Intelligence; Optimization

  JOURNAL NAME: Intelligent Control and Automation, Vol.4 No.4, November 13, 2013

  ABSTRACT: Economic Load Dispatch (ELD) is a process of scheduling the required load demand among available generation units such that the fuel cost of operation is minimized. The ELD problem is formulated as a nonlinear constrained optimization problem with both equality and inequality constraints. In this paper, two test systems of the ELD problems are solved by adopting the Cuckoo Search (CS) Algorithm. A comparison of obtained simulation results by using the CS is carried out against six other swarm intelligence algorithms: Particle Swarm Optimization, Shuffled Frog Leaping Algorithm, Bacterial Foraging Optimization, Artificial Bee Colony, Harmony Search and Firefly Algorithm. The effectiveness of each swarm intelligence algorithm is demonstrated on a test system comprising three-generators and other containing six-generators. Results denote superiority of the Cuckoo Search Algorithm and confirm its potential to solve the ELD problem.