Evolving While-Loop Structures in Genetic Programming for Factorial and Ant Problems
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @InProceedings{conf/ausai/ChenZ05,
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author = "Guang Chen and Mengjie Zhang",
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title = "Evolving While-Loop Structures in Genetic Programming
for Factorial and Ant Problems",
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year = "2005",
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pages = "1079--1085",
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booktitle = "AI 2005: Advances in Artificial Intelligence, 18th
Australian Joint Conference on Artificial Intelligence,
Proceedings",
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editor = "Shichao Zhang and Ray Jarvis",
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publisher = "Springer",
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series = "Lecture Notes in Computer Science",
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volume = "3809",
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address = "Sydney, Australia",
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month = dec # " 5-9",
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keywords = "genetic algorithms, genetic programming, STGP",
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ISBN = "3-540-30462-2",
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URL = "https://rdcu.be/dgJfN",
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DOI = "doi:10.1007/11589990_144",
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size = "7 pages",
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abstract = "Loop is an important structure in human written
programs. However, it is seldom used in the evolved
programs in genetic programming (GP). use of while-loop
structure in GP for the factorial and the artificial
ant problems. Two different forms of the while-loop
structure, count-controlled loop and event-controlled
loop, are investigated. The results suggest that both
forms of the while-loop structure can be successfully
evolved in GP, the system with the while-loop structure
is more effective and more efficient than the standard
GP system for the two problems, and the evolved genetic
programs with the loop-structure are much easier to
interpret.",
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notes = "easy (non-Santa Fe) Ant. Factorial. Proportional
Selection. Ramped half and half tree mutation. For
loop, limits on number of iterations. p1081 'perfect
solution' in half runs.",
- }
Genetic Programming entries for
Guang Chen
Mengjie Zhang
Citations