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B. Shaw, S. Ghoshal, V. Mukherjee and S. P. Goshal, “Solution of Economic Load Dispatch Problems by a Novel Seeker Optimization Algorithm,” International Journal on Electrical Engineering and Informatics, Vol. 3, No. 1, 2011, pp. 26-42.

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.