Evolving While-Loop Structures in Genetic Programming for Factorial and Ant Problems

Created by W.Langdon from gp-bibliography.bib Revision:1.8612

@InProceedings{conf/ausai/ChenZ05,

• author = "Guang Chen and Mengjie Zhang",
• title = "Evolving While-Loop Structures in Genetic Programming for Factorial and Ant Problems",
• year = "2005",
• pages = "1079--1085",
• booktitle = "AI 2005: Advances in Artificial Intelligence, 18th Australian Joint Conference on Artificial Intelligence, Proceedings",
• editor = "Shichao Zhang and Ray Jarvis",
• publisher = "Springer",
• series = "Lecture Notes in Computer Science",
• volume = "3809",
• address = "Sydney, Australia",
• month = dec # " 5-9",
• keywords = "genetic algorithms, genetic programming, STGP",
• ISBN = "3-540-30462-2",
• URL = "https://rdcu.be/dgJfN",
• DOI = "10.1007/11589990_144",
• size = "7 pages",
• 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.",
• 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