Research
Here I list some of my past and on-going studies.
Knowledge-Driven Program Synthesis
knowledge, genetic programming, on-going
In this research, we focus on a Genetic Programming (GP) algorithm that improves itself.
Human programmers write programs every day. If we run a GP algorithm on the cloud and pose PS problem to this GP consecutively, this GP algorithm will face to endless and distinct problems, just like a human. An interesting thing is that we human improve ourselves by practicing on these problems. Very naturally, we want to ask if GP can solve problems and improve itself like a human? Unfortunately, the traditional GP cannot do this. You run GP several repetitions to solve the same problem, the performance does not get better.
Simulation Optimization for Real-World Problems
problem modeling, real-world optimization, on-going
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