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2-dimensional planar antenna optimized with genetic algorithms.
The impact of a crossover is not clear. Crossovers should move the candidate solution farther in space, while a single mutation should help exploring the neighbourhood. This translates in crossover generating solution that have a higher Hamming distance than those generated by single mutations, but whenever part of the rod changes, all the pieces after change with it.
Should we move to a first degree spline representation to reduce the effect of a mutation on the solution?
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Set a default configuration and review the configuration file loading and parsing.
Move configuration inside the core module, if used.
Electromagnetic analysis on genes with intersecting segments generate an error.
This is a problem on first epochs where no gene might have a positive fitness, thus making the parent choice fail.
We could fall back to a fully random extraction for parents if roulette method fails because the weights are non-positive.
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