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This paper provides a formal optimization treatment on optimal designs with generalized minimum aberration.
The formal optimization methods, on the other hand, guarantees the solution is optimal, but it has been argued that it would be difficult to model site selection process using optimization models, especially when spatial attributes of the reserve have to be taken into account.
Regarding redundancy requisites, high quality metering plans are obtained without requiring a formal optimization technique.
PBMO addresses issues that arise in model simulations due to these harsh modeling scenarios imposed by formal optimization.
In this study, a formal optimization method using Multi-Objective Evolutionary Algorithm (MOEA) was developed to overcome such complexities.
Previous design studies have explored a limited design space and have rarely taken advantage of any formal optimization approach.
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Formal design optimization involves application of mathematical optimization techniques to models derived from engineering science, often presented as computer simulations.
Since there is a trade-off between these two objectives, formal multiobjective optimization techniques are required to establish the optimal Pareto solutions that can then be used for decision-making purposes.
This work represents the first use of formal design optimization methods for the Fontan surgery, and also demonstrates the applicability of the optimization framework on a pulsatile flow problem with multiple design parameters and constraints.
The use of formal models and optimization methods is suggested to be used to identify the best performing strategy.
In addition, there are five formal methods: economic optimization, critical examination, rating, mathematical modeling, and software-based approaches.
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