Stochastic Optimization, including: Stochastic Programming, Stochastic Tunneling, Ant Colony Optimization, Repulsive Particle Swarm Optimization, ... Multi-armed Bandit, Quantum Annealing

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More info: Stochastic optimization (SO) methods are optimization algorithms which incorporate probabilistic (random) elements, either in the problem data (the objective function, the constraints, etc.), or in the algorithm itself (through random parameter values, random choices, etc.), or in both . The concept contrasts with the deterministic optimization methods, where the values of the objective function are assumed to be exact, and the computation is completely determined by the values sampled so far.