... as real-valued quantities, which often requires extending the way they are defined or interpreted). Due to its global search nature, B&B is often a time-consuming optimization procedure. On the other hand, although PSO-MADS relies on heuristics (and this means that some of the parameters...

... The purpose of this paper is to investigate the efficiency of three stochastic algorithms for generating history matched reservoir models. The algorithms are: Hamiltonian Monte Carlo (HMC), Particle Swarm Optimization (PSO) and the Neighborhood Algorithm (NA). HMC is a Markov Chain Monte Carlo...