Particle Swarm Optimization in High Dimensional Spaces

Abstract

Global optimization methods including Particle Swarm Optimization are usually used to solve optimization problems when the number of parameters is small (hundreds). In the case of inverse problems the objective (or fitness) function used for sampling requires the solution of multiple forward solves. In inverse problems, both a large number of parameters… (More)
DOI: 10.1007/978-3-642-15461-4_49

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