Handbook of Applied Optimization

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Model predictive control for perturbed continuous piecewise affine systems with bounded disturbances (2004, unknown): “…sample step k we have to solve an optimization problem of the following form subject to P ( k )˜ u ( k ) + q ( k ) ≤ 0 , so for any j = 1 , ..., ˆ l we obtain a linear programming problem: The linear programming problems are easy to solve using the simplex method or an interior point algorithm [9].”
Distributed Stochastic Subgradient Projection Algorithms for Convex Optimization (2008, background): “A number of problems that arise in the context of peer to peer networks can be posed as the constrained minimization of a sum of convex functions, where each component function is known only to one agent in the network [1–13].”
Aggregation Functions: A Guide for Practitioners (2007, methodology): “, just evaluate and compare the values of f at randomly chosen points), multistart local search, heuristics like simulated annealing, genetic algorithms, tabu search, and many others, see [188, 202].”