Experimental supplements to the computational complexity analysis of genetic programming for problems modelling isolated program semantics

作者: Tommaso Urli , Markus Wagner , Frank Neumann

DOI: 10.1007/978-3-642-32937-1_11

关键词:

摘要: In this paper, we carry out experimental investigations that complement recent theoretical on the runtime of simple genetic programming algorithms [3, 7]. Crucial measures in these analyses are maximum tree size is attained during run as well population when dealing with multi-objective models. We study those detail by and analyze different an way.

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