A Discussion of Random Methods for Seeking Maxima

By Samuel H. Brooks. 1958

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Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models (2018, background): “However, uniform random search [Brooks, 1958] suffers in high-dimensional spaces.”
Parameter estimation in biochemical pathways: a comparison of global optimization methods. (2003, methodology): “● Adaptive stochastic methods (or adaptive random search), which were originally developed in the domains of electrical and control engineering and applied mathematics in the 1950s and 1960s (Brooks 1958; Matyas 1965; Rastrigin and Rubinstein 1969).”
Optimization of Convex Functions with Random Pursuit (2011, unknown): “90C25, 90C56, 68W20, 62L10 1.”