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In the AEA a problem is first decomposed into its relative sub-components; they then evolve solution building blocks that fit together to form a single optimal solution.
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This provides for designers the ability to evolve solutions that can match multiple objectives.
These developments in living technology suggest that we will evolve solutions using the transformational properties of natural systems.
For many years researchers have used a variety of evolutionary computation approaches to evolve solutions to this problem.
Because our method for generating datasets was driven by mutation, we needed to employ an effective mutation rate to evolve solutions with our sought-after attributes.
In his introduction for adults (there is a separate one for children), Mr. Tulley explains that the point of letting children do potentially dangerous things is to help them become competent people who "treat failures as feedback, which they incorporate in the ongoing, evolving solution to the problem".
The quality of any evolved solution is judged by its corresponding fitness value.
It involves a combination of static and dynamic monitor functions, the former for mesh distribution in the vicinity of a complex boundary and the latter for mesh adaption with the evolving solution elsewhere.
Figure 2 shows the fitness of an evolved solution as a function of the growth rate for a particular solution we obtained.
Further conquest of the land became possible during the Carboniferous Period, when plants and animals evolved solutions to overcome their dependence on moist environments for reproduction: waterborne spores were replaced by seeds in plants of seed-fern origin, and shell-less eggs were replaced by amniote eggs with protective shells in animals of reptilian origin.
The superiority and inspirational qualities of naturally evolved solutions certainly hold true in the field of signal processing.
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