Differential evolution (DE) is a popular, simple yet efficient EA for solving real-parameter global optimization problems [30]. DE is an elitist EA. It creates new candidate solutions by a multiparent reproduction strategy. DE uses the directional information from the current population for each individual to form a simplex-like triangle.
CITATION STYLE
Du, K.-L., & Swamy, M. N. S. (2016). Differential Evolution. In Search and Optimization by Metaheuristics (pp. 93–103). Springer International Publishing. https://doi.org/10.1007/978-3-319-41192-7_6
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