Method for optimizing the layout and charge maps of a flowline o

Data processing: artificial intelligence – Machine learning – Genetic algorithm and genetic programming system

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36447415, 395 81, 395 82, G06F 1518

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059096748

ABSTRACT:
A method uses a computer-controlled algorithm that enables production of high-quality layouts and charge maps or set-ups for arbitrary printed circuit boards for electronic component placement machines alone or as one of many in a production line. A class of algorithms known as genetic algorithms employing an initial population of chromosomes are used. Each chromosome represents a set of parameters that control how a layout and charge maps are generated. Problem descriptors, based on one time code are generated. An adaptive searcher searches parameters and generates trial solutions as chromosomes and a heuristic layout generator interprets these chromosomes to generate the layout and charge maps using the problem descriptors.

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