Application US20190043025

GENETIC ALGORITHMS IN BLOCKCHAIN SPACE
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US20190043025

1. A computer-implemented method for managing digital assets, comprising: (7) (8)

receiving one or more optimization criteria from a user for optimizing a portfolio of digital assets;

generating a genome population comprising a plurality of genomes, each of which represents a solution for optimizing the portfolio of digital assets;

selecting and mating two parent genomes from the genome population to produce a child genome;

mutating the child genome;

adding the child genome to the genome population;

removing a number of genomes from the genome population;

determining, based on the one or more optimization criteria, whether any genome in the genome population represents an optimal solution;

upon determining that a genome in the genome population represents an optimal solution, performing at least one of buying, selling, and trading of digital assets according to the solution represented by the genome.

2. The computer-implemented method of claim 1, wherein the generating, selecting, mating, mutating, adding, removing, and determining are performed by a distributed system comprising a plurality of computing devices connected over a network. (0)

3. The computer-implemented method of claim 1, wherein the digital assets comprise at least one type of cryptocurrency. (0)

4. The computer-implemented method of claim 1, wherein each genome comprises a vector. (0)

5. The computer-implemented method of claim 1, wherein the mating of the two parent genomes to produce a child genome comprises performing at least one of: single-point crossover; two-point crossover; uniform crossover; and arithmetic crossover. (0)

6. The computer-implemented method of claim 1, wherein the determining, based on the one or more optimization criteria, whether any genome in the genome population represents an optimal solution comprises: (0) (2)

7. The computer-implemented method of claim 1, wherein the buying or selling of digital assets is performed using one or more smart contracts executed by a Turing-complete virtual machine. (0)

8. The computer-implemented method of claim 1, further comprising: (0) (1)

9. A computing device for managing digital assets, the computing device comprising: (7) (2)

a memory; and

a processor configured to perform a method for managing digital assets, comprising: receiving one or more optimization criteria from a user for optimizing a portfolio of digital assets;

generating a genome population comprising a plurality of genomes, each of which represents a solution for optimizing the portfolio of digital assets;

selecting and mating two parent genomes from the genome population to produce a child genome;

mutating the child genome;

adding the child genome to the genome population;

removing a number of genomes from the genome population;

determining, based on the one or more optimization criteria, whether any genome in the genome population represents an optimal solution;

10. The computing device of claim 9, wherein the generating, selecting, mating, mutating, adding, removing, and determining are performed by a distributed system comprising a plurality of computing devices connected over a network. (0)

11. The computing device of claim 9, wherein the digital assets comprise at least one type of cryptocurrency. (0)

12. The computing device of claim 9, wherein each genome comprises a vector. (0)

13. The computing device of claim 9, wherein the mating of the two parent genomes to produce a child genome comprises performing at least one of: single-point crossover; two-point crossover; uniform crossover; and arithmetic crossover. (0)

14. The computing device of claim 9, wherein the determining, based on the one or more optimization criteria, whether any genome in the genome population represents an optimal solution comprises: (0) (2)

15. The computing device of claim 9, wherein the buying or selling of digital assets is performed using one or more smart contracts executed by a Turing-complete virtual machine. (0)

16. The computing device of claim 9, wherein the method further comprises: (0) (1)

17. A computer-readable medium comprising instructions that when executed by a computing device cause the computing device to perform a method for managing digital assets, the method comprising: (7) (8)

receiving one or more optimization criteria from a user for optimizing a portfolio of digital assets;

generating a genome population comprising a plurality of genomes, each of which represents a solution for optimizing the portfolio of digital assets;

selecting and mating two parent genomes from the genome population to produce a child genome;

mutating the child genome;

adding the child genome to the genome population;

removing a number of genomes from the genome population;

determining, based on the one or more optimization criteria, whether any genome in the genome population represents an optimal solution;

18. The computer-readable medium of claim 17, wherein the generating, selecting, mating, mutating, adding, removing, and determining are performed by a distributed system comprising a plurality of computing devices connected over a network. (0)

19. The computer-readable medium of claim 17, wherein the digital assets comprise at least one type of cryptocurrency. (0)

20. The computer-readable medium of claim 17, wherein each genome comprises a vector. (0)

21. The computer-readable medium of claim 17, wherein the mating of the two parent genomes to produce a child genome comprises performing at least one of: (0) (1)

22. The computer-readable medium of claim 17, wherein the determining, based on the one or more optimization criteria, whether any genome in the genome population represents an optimal solution comprises: (0) (2)

23. The computer-readable medium of claim 17, wherein the buying or selling of digital assets is performed using one or more smart contracts executed by a Turing-complete virtual machine. (0)

24. The computer-readable medium of claim 17, wherein the method further comprises: (0) (1)

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Application US20190043025

GENETIC ALGORITHMS IN BLOCKCHAIN SPACE

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