Gradient Evolution (GE) Algorithm

  • Mehri Abdi-Dehkordi
  • Omid Bozorg-Haddad
  • Xuefeng Chu
Part of the Studies in Computational Intelligence book series (SCI, volume 720)


In this chapter, a meta-heuristic optimization algorithm named gradient evolution (GE) is discussed, which is based on a gradient search method. First, the GE algorithm and the underlying idea are introduced and its applications in some studies are reviewed. Then, the mathematical formulation and a pseudo-code of GE are discussed. Finally, the conclusion is presented.


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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Mehri Abdi-Dehkordi
    • 1
  • Omid Bozorg-Haddad
    • 1
  • Xuefeng Chu
    • 2
  1. 1.Department of Irrigation and Reclamation Engineering, Faculty of Agricultural Engineering and TechnologyCollege of Agriculture and Natural Resources, University of TehranKarajIran
  2. 2.Department of Civil and Environmental EngineeringNorth Dakota State UniversityFargoUSA

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