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Evolutionary Algorithms seem a valid approach to the optimization of non-linear problems.
This is achieved by a hierarchical approach to the optimization problem.
This paper presents a novel approach to the optimization of a dynamic system's design and control.
The RSM was demonstrated as an appropriate approach to the optimization of acidogenesis.
A novel approach to the optimization of flexible columns against buckling is presented.
However, for a proper approach to the optimization problem, the stability of the resulting closed-loop must be guaranteed.
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The effect of two different input scaling approaches to the optimization process is investigated.
There are two basic approaches to the optimization of stand management in a risk situation: anticipatory and adaptive optimization.
The optimization requirement in turn, establishes the need to develop fast and effective approaches to the optimization procedure, providing the best predictive power of the constructed model.
Models that can predict the rate of proton secretion or consumption under a wide range of environmental conditions will be valuable in developing model-based approaches to the optimization of power production in microbial fuel cells and the in situ bioremediation of contaminated subsurface environments, where the effect of pH changes is critical.
Extremal optimization (EO) has become in recent years one particular, successful approach to the global optimization problem.
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