Method and systems for combining neural networks with genetic optimization in the context of electronic component placement
Abstract:
The present disclosure relates to applying genetic optimization to a routing strategy associated with an electronic design. Embodiments may include receiving pin and net information from an electronic design file and determining a minimum spanning tree for all pins associated with each net. Embodiments may include identifying pairs of connected pins and representing the pins as at least one line segment without layer information. Embodiments may include generating a crossing map based upon the line segments and assigning random layer information to each of the line segments. Embodiments may further include performing crossover and mutation operations to the line segments using hyperparameters and evaluating a fitness of the line segments. Embodiments may also include instantiating vias based upon a layer to which the line segment was assigned.
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