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Cell orientation changes can be mimicked by an optimization principle using the Metropolis algorithm for the energy change in case of a cell orientation change (Drasdo et al. 2007) or an equation for the angular momentum (Drasdo 2005).
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These methods utilize an optimization principle, which has been shown to give accurate predictions in wild type strains.
In contrast to FBA-related techniques, EFM and ExPa analyses are only based on network stoichiometry and therefore allow an unbiased analysis without imposing an optimization principle.
It is shown that every geometric feature of the assembly is delivered by the optimization principle and the constraints.
A new optimization principle is presented.
On a more general note, the results of this analysis indicate that the MaxEnt (MinxEnt) principle is a general optimization principle that governs the evolution of populations of replicators regardless of the specifics of the growth dynamics.
Sufficient conditions for the closed-loop NCS to be stochastically stable and the performance index to be upper bounded are derived by using the receding optimization principle.
In a former paper we introduced a very effective new general purpose optimization principle.
Thus, using the Pareto optimization principle, we formulated a MOPSO algorithm to solve the problem.
Ripple-spreading algorithms take advantage of this optimization principle to resolve route optimization problems by mimicking the natural ripple-spreading phenomenon (Hu et al. 2016).
Some examples of how man-made materials are tailored by mimicking wood's intriguing optimization principles are provided.
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