L. Coelho and V. Mariani, “Combining of Chaotic Differential Evolution and Quadratic Programming for Economic Dispatch Optimization with Valve Point Effect,” IEEE Transaction on Power Systems, Vol. 21, No. 2, 2006, pp. 989-996.
http://dx.doi.org/10.1109/TPWRS.2006.873410

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.