Semantic Backpropagation for Designing Search Operators in Genetic Programming
IEEE Transactions on Evolutionary Computation(2015)
摘要
In genetic programming, a search algorithm is expected to produce a program that achieves the desired final computation state (desired output). To reach that state, an executing program needs to traverse certain intermediate computation states. An evolutionary search process is expected to autonomously discover such states. This can be difficult for nontrivial tasks that require long programs to b...
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关键词
Semantics,Programming,Backpropagation,Vectors,Genetic programming,Context,Algorithm design and analysis
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