Hybrid genetic pattern search augmented Lagrangian algorithm : application to WWTP optimization

摘要

An augmented Lagrangian algorithm is presented to solvea global optimization problem that arises when modeling the activatedsludge system in a Wastewater Treatment Plant, attempting to minimizeboth investment and operation costs. It is a heuristic-based algorithmthat uses a genetic algorithm to explore the search space for a globaloptimum and a pattern search method for the local search refinement.The obtained results have physical meaning and show the effectivenessof the proposed method.