genetic algorithm usage for routing optimization ( pyqt )
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Updated
Mar 24, 2019 - Python
genetic algorithm usage for routing optimization ( pyqt )
Automated VLSI Placement Engine optimizing wirelength and density using hybrid analytical and stochastic algorithms. Supports Verilog-to-DEF flows with interactive congestion visualization
The task is to count the number of pieces combinations when none of them capture another
Algorithm solves the problem of the points placement in accordance with the length specified in the matrix
A more modular Fluigi Codebase
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