An improved design of program representation for genetic programming

機構典藏 > College of Global Entrepreneurial Development > Department of Innovative Information and Technology > Proceeding > Item 987654321/112561

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Title:	An improved design of program representation for genetic programming
Authors:	F.-C. Chang;H.-C. Huang
Keywords:	Genetic programming;GP
Date:	2017-10-11
Issue Date:	2018-01-09 02:10:26 (UTC+8)
Abstract:	Although genetic programming (GP) is derived from genetic algorithm (GA), there are issues that prevent GP being as efficient as GA. The validity of a generated program, the design of ephemeral constants, and the empirical considerations of GP parameters are part of the issues affecting the convergence of a GP process. Based on many experimental results, an improved GP scheme is proposed in this paper. The design of the program representation and the storage of the computation result(s) ensure that a program is both structurally and behaviorally valid. Empirical considerations are also discussed, and a few guidelines of setting GP parameters are derived from the experimental observations.
Relation:	19-24
Appears in Collections:	[Department of Innovative Information and Technology] Proceeding

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