Design optimization: Difference between revisions

Revision as of 06:29, 17 December 2022

Revision as of 06:30, 17 December 2022

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== Application ==

Design optimizationoptimisation applies the methods of [[mathematical optimization]] to design problem formulations and it is sometimes used interchangeably with the term [[engineering optimization]]. When the objective function ''f'' is a [[Vector-valued function|vector]] rather than a [[Scalar field|scalar]], the problem becomes a [[multi-objective optimization]] one. If the design optimization problem has more than one mathematical solutions the methods of [[global optimization]] are used to identified the global optimum.

'''Optimisation Checklist''' <ref name="pyp2017" />