The optimization problem formulation and the optimization process presented above are very general and can be applied to any design problem in any field. For example, if we wish to design the internal combustion engine, the objective may be to maximize the combustion efficiency. The engine may be required to provide a specific power output with an upper limit on the amount of harmful pollutants emitted into the atmosphere. These parameters will serve as constraints for optimization. The design variables that are allowed to be changed during optimization may be the compression ratio, air-fuel mixture ratio, bore and stroke, etc.Optimization is not limited to engineering only. It is possible to optimize the financial portfolio, optimize the revenue and expenditures of a company, optimize the route of a delivery truck, optimize the chemical processing, optimize protein models, etc.It is not debatable that optimization is useful. It has been successfully working for many years. However, at the same time it is by no means a replacement for a designer. It is also not a “push-button” tool that instantly produces the best design without human intervention. It is a process that reduces the design time, improves the design quality, and free engineers and designers for creative work by taking over tedious operations.Optimization is the most powerful design improvement tool that is available today!
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