Methods and systems for interactive computing

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

Reexamination Certificate

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Reexamination Certificate

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07979365

ABSTRACT:
Methods and systems for creating a synthetic surrogate fitness function. User decisions are received representing fitness for a plurality of solutions. A partial ordering of the plurality of solutions is provided based on the received user decisions, wherein at least some of the plurality of solutions are represented to have a greater relative fitness than other of the plurality of solutions. A complete order of at least the plurality of solutions is induced based on the normalized partial ordering. A synthetic surrogate fitness function is generated using the induced complete order.

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