Hardness of Internally Oxidized Ag-Ga Alloys

GA-Hardness Revisited

Ever since the invention of Genetic Algorithms (GAs), researchers have put a lot of efforts into understanding what makes a function or problem instance hard for GAs to optimize. Many measures have been proposed to distinguish socalled GA-hard from GA-easy problems. None of these, however, has yet achieved the goal of being a reliable predictive GA-hardness measure. In this paper, we first pres...

Bitwise Regularity and Ga-hardness

| We present in this paper a theoretical analysis that relates an irregularity measure of a tness function to the so-called GA-deception. This approach is a continuation of a work 18] that has presented a deception analysis of HH older functions. The analysis developed here is a generalization of this work in two ways : we rst use a \bitwise regularity" instead of a HH older exponent as a basis...

Fitness Distributions and GA Hardness

Considerable research effort has been spent in trying to formulate a good definition of GA-Hardness. Given an instance of a problem, the objective is to estimate the performance of a GA. Despite partial successes current definitions are still unsatisfactory. In this paper we make some steps towards a new, more powerful way of assessing problem difficulty based on the properties of a problem's f...

Antibacterial biodegradable Mg-Ag alloys.

The use of magnesium alloys as degradable metals for biomedical applications is a topic of ongoing research and the demand for multifunctional materials is increasing. Hence, binary Mg-Ag alloys were designed as implant materials to combine the favourable properties of magnesium with the well-known antibacterial property of silver. In this study, three Mg-Ag alloys, Mg2Ag, Mg4Ag and Mg6Ag that ...

Spherical Indentation Hardness of Shape Memory Alloys