Design Optimization Landscape

• How consciously do we navigate this?
• Knowledge vs Prototyping
• Width vs Depth of exploration
• Speculation is "fast" to move but with uncertainty
• Application focuses and finds new constraints, but it's expensive
• Multidimensional and Multiobjective
• Pareto front optimal solutions?
• Fuzzy/Noisy, Changing over time
• We are all optimizers
• We keep a model of the design landscape, updated by information (experiments, knowledge). Biased by our psychology
• We try to "sample" promising areas to find a good solution
• Similar to Bayesian Optimization (information directed sampling)

Bayesian Optimization. Used in black-box problems that
have a high sampling (evaluation) cost.