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.
CITATION STYLE
Abdi-Dehkordi, M., Bozorg-Haddad, O., & Chu, X. (2018). Gradient evolution (GE) algorithm. In Studies in Computational Intelligence (Vol. 720, pp. 117–130). Springer Verlag. https://doi.org/10.1007/978-981-10-5221-7_12
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