@inproceedings{2058511b48534c1d8eed2c5ad3a46ca0,
title = "An investigation into the use of different search strategies with grammatical evolution",
abstract = "We present an investigation into the performance of Grammatical Evolution using a number of different search strategies, Simulated Annealing, Hill Climbing, Random Search and Genetic Algorithms. Comparative results on three different problems are examined. We analyse the nature of the search spaces presented by these problems and offer an explanation for the contrasting performance of each of the search strategies. Our results show that Genetic Algorithms provide a consistent level of performance across all three problems successfully coping with sensitivity of the system to discrete changes in the selection of productions from the associated grammar.",
author = "John O{\textquoteright}Sullivan and Conor Ryan",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2002.; 5th European Conference on Genetic Programming, EuroGP 2002 ; Conference date: 03-04-2002 Through 05-04-2002",
year = "2002",
doi = "10.1007/3-540-45984-7_26",
language = "English",
isbn = "9783540433781",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "268--277",
editor = "Foster, {James A.} and Evelyne Lutton and Julian Miller and Conor Ryan and Tettamanzi, {Andrea G.B.}",
booktitle = "Genetic Programming - 5th European Conference, EuroGP 2002, Proceedings",
}