Global Optimization and Quantitative Reasoning Techniques

1.5 credits · Graduate

Review of conventional engineering optimization methods, global optimization algorithms, introduction of metamodeling and metamodel-based global optimization techniques, multi-objective and multi-disciplinary optimizations; knowledge representation and reasoning, rule-based systems, fuzzy pattern clustering and recognition, and artificial neural networks; applications of metamodel-based global optimization and quantitative reasoning for computational design and optimal control.