Advances in Differential Evolution

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DE/BBO: a hybrid differential evolution with biogeography-based optimization for global numerical optimization (2010, background): “Due to these advantages, it has many real-world applications, such as data mining [13], [14], pattern recognition, digital ﬁlter design, neural network training, etc. [4], [15], [16].”
A survey on optimization metaheuristics (2013, background): “For a more detailed description of many of the existing variants and major application areas of DE, readers should refer to [43,194,63].”
Enhancing Differential Evolution Utilizing Proximity-Based Mutation Operators (2011, background): “(a) Population size, NP = 100 [15], [31], [75].”