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GAVONTS is a genetic algorithm based 'meta-model' technology; it is aimed at tackling non-linear problems and situations where there may not be a suitable mathematical 'model' available.
The GAVONTS method is designed to find a non-linear transformation that maps an 'input vector' of values onto an 'output vector', and optimises a chosen set of criteria.
GAVONTS uses a combination of Genetic Algorithms, together with a particular way of building and combining complex non-linear mathematical transformations that can be encoded as xml data structures.
Our Genetic Algorithm modelling framework then simulates the process of evolution, and finds solutions that best solve the given problem. The 'genetic' element relates to the way in which new models are created by combining the characteristics of 'parent' models.
GAVONTS applies the principles of evolution through natural selection to solve a wide range
of complex problems, enabling mathematical models to adapt and evolve in solution-space without human
intervention.
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