Evolutionary Computation

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A genetic programming approach to designing convolutional neural network architectures (2017, background): “In contrast, the traditional evolutionary neural networks, socalled neuroevolution [Stanley and Miikkulainen, 2002], typically optimizes both of the weights and architecture at the same time by”
The application of a genetic algorithm to estimate material properties for fire modeling from bench-scale fire test data (2006, background): “13 There are many different ways in which individuals can be selected for reproduction, but proportional selection [19] was used here for simplicity.”
From evolutionary computation to the evolution of things (2015, background): “Today, the family of EAs includes historical members: genetic algorithms, evolution strategies, evolutionary programming, and genetic programming; and younger siblings, such as differential evolution and particle swarm optimization 17,18,19,20,21,22,23,24,25 .”