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Accession number: 20144700227464 Title: An evolutionary approach to Tower of Hanoi problem Authors: Li, Jie1 Email author jie_yi_ehw@163.com; Shen, Rui1 Author affiliation: 1 Department of Computer Engineering, Shandong Aerospace Electro-Technology Institute, Yantai, China Corresponding author: Li, Jie Source title: Advances in Intelligent Systems and Computing Abbreviated source title: Adv. Intell. Sys. Comput. Volume: 329 Volume title: Genetic and Evolutionary Computing - Proceeding of the Eighth International Conference on Genetic and Evolutionary Part number: 1 of 1 Issue date: 2015 Publication year: 2015 Pages: 89-98 Language: English ISSN: 21945357 ISBN-13: 9783319122854 Document type: Conference article (CA) Conference name: 8th International Conference on Genetic and Evolutionary Computing, ICGEC 2014 Conference date: October 18, 2014 - October 20, 2014 Conference location: Nanchang, China Conference code: 110329 Sponsor: Nanchang Institute of Technology; National Kaohsiung University of Applied Sciences(Taiwan); Springer; VSB-Technical University of Ostrava (Czech Republic) Publisher: Springer Verlag Abstract: The Tower of Hanoi problem is an ancient and interesting topic. In this paper, we presented an evolutionary algorithm approach for searching the solutions of the problem. We use a direct encoding and apply mutation only in the evolution. Experimental results are reported and show that the proposed method is capable of finding solutions for the problem of multiple pegs. © Springer International Publishing Switzerland 2015. Number of references: 16 Main heading: Intelligent systems Uncontrolled terms: Direct encoding - Evolutionary approach - Finding solutions - Multiple pegs problem - Tower of Hanoi Classification code: 723.4 Artificial Intelligence DOI: 10.1007/978-3-319-12286-1_10 Database: Compendex Compilation and indexing terms, © 2015 Elsevier Inc. |
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