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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.