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Statistical methods for constrained stability assays were also proposed; a constrained assay has several components whose reported values restrict each other in one way or another (Zhang 2016).
Geometric effects of the alteration of shape parameters is also discussed, including design oriented computational methods for constrained shape control of the curve.
In that case, we are again confronted with a constrained GNA problem, but the increased number of interactions makes its exact minimization intractable and only approximate methods for constrained GNA can be applied.
So far, penalty function methods have been the most popular methods for constrained optimization due to their simplicity and easy implementation.
In particular, we will discuss direct design methods for constrained meshes and related architectural structures, design space exploration based on local approximations of constraint manifolds and the design of structures in static equilibrium.
The novel PS algorithm combined with the modified repair strategy outperforms the studied GA methods for constrained stacking sequence optimization of composite laminate both in computational performance and finding the optimal objective value with high reliability.
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Furthermore, a benchmark MSA explicitly constructed to comprise fewer columns than a correct alignment demands would be required to test the performance of alternative methods for constraining the number of columns.
In this paper we propose a method for constrained shape optimization governed with a nonlinear axisymmetric magnetostatic state problem and we apply it to an optimal shape design of an electromagnet.
An ant colony system (ACS) method for constrained load flow problem was proposed in [64].
SQP is one of best nonlinear-programming method for constrained optimization.
For reactions of purified enzymes with biomass, the time dependence of product formation detected by NIMS was analyzed by nonlinear global optimization of differential equations accounting for the appearance and decay of products [ 61] using Mathematica routine NDSolve and the Nelder Mead simplex method for constrained minimization [ 109].
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