This document discusses methods for creating inventions through a genetic algorithm approach. It explains that inventions are often created through combination or addition of existing ideas or designs. It then describes how a genetic algorithm works, using inheritance, mutation, selection and crossover to evolve new potential designs over multiple iterations. The document outlines setting up a database of existing designs that can be drawn from and combined, and designing a user interface for people to provide aims and evaluate generated potential new ideas to help the machine learning system identify better solutions. The overall goal is to help streamline the invention process and tackle challenges like the large amount of multidisciplinary work required and accurately simulating real-world conditions.

1. Try to change the world
Yu HAO
Professor - Yukna Christopher
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2. What could change the world?
The invention
Electric light bulb
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3. How to create an
invention?
One of the most important means:
Combination / Addition
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4. How to create an
invention?
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5. How to create an
invention?
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6. How to create an
invention?
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7. How to create an
invention?
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8. How to create an
invention?
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9. How to create an
invention?
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10. How to create an
invention?
Good idea / Brainstorm
Experiments
Records of working process
Designer,Engineer,Scientist
…
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11. Genetic algorithm
Inheritance
Mutation
Selection
Crossover
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12. Genetic algorithm
Crossover
Mutation
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13. Genetic algorithm
Crossover
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14. Genetic algorithm
Inheritance
Mutation
Selection
Crossover
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15. The data base
Transport Home Electronics…
…
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16. The data base
Transport Home Electronics…
0000001 1000001 2000001
0000002 1000002 2000002
0000003 1000003 …
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Unique code

17. The data base
1 Powerplant
2 Landing Gear
3 Wing
4 Fuselage
5 Empennage
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Gene

18. The User Interface
Used by the world
Input your aim (Be analyzed by the machine)
Choose the class
Avoid repetitive Project
Input the number of tests (e.g. 1000 times…)
Give your evaluation personally
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19. The evaluation system
Find the best one
Manual → Machine Learning
Simulation System (Wind,
Gravity…)
…
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20. The Challenges
Huge amount of work
A variety of disciplines
Simulation of reality
Virtual Reality
To be continued…
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21. –Yu HAO
“Thank you for your attention”
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