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M. A. Abido, “Multiobjective Evolutionary Algorithms for Electric Power Dispatch Problem,” IEEE Transactions on Evolutionary Computation, Vol. 10, No. 3, 2006, pp. 315-329. doi:10.1109/TEVC.2005.857073

has been cited by the following article:

• TITLE: A New Evolutionary Method for Solving Combined Economic and Emission Dispatch

  AUTHORS: A. N. Afandi, Hajime Miyauchi

  KEYWORDS: Bees; Cost; Economic; Emission; Harvest; Minimum

  JOURNAL NAME: Energy and Power Engineering, Vol.5 No.4B, November 7, 2013

  ABSTRACT: This paper presents a new evolutionary method called in Harvest Season Artificial Bee Colony (HSABC) algorithm for solving constrained problems of Combined Economic and Emission Dispatch (CEED). The IEEE-30 bus system is adopted as a sample system for determining the best solutions of the CEED problems considering operational constraints. Running outs of designed programs for the HSABC show that applications of various compromised factors have different implications on the CEED’s results, that minimum cost computations are started at different values, and that increasing load demands have affected costs, pollutant emissions and generated powers.