Differential evolution for dynamic optimization of differential-algebraic systems

摘要

An efficient method is introduced for solving optimal control and optimal parameter selection problems of nonlinear differential-algebraic systems involving general constraints. These infinite-dimensional problems are first converted into the uncaused optimal parameter selection problems. Differential evolution is then extended to solve such problems. This modified version of differential evolution is applied to solve an optimal temperature control problem of a chemical reactor system.