eprintid: 1035
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/10/35
datestamp: 2023-11-09 15:49:11
lastmod: 2023-11-09 15:49:11
status_changed: 2023-11-09 15:38:54
type: conference_item
metadata_visibility: show
creators_name: Farooq, H.
creators_name: Zakaria, M.N.
creators_name: Hassan, M.F.
creators_name: Sulaiman, S.
title: A multidimensional search space using Interactive Genetic Algorithm
ispublished: pub
keywords: Interactive genetic algorithm; L-systems; Multidimensional data; Multidimensional search; Numerical parameters; Objective functions; Potential solutions; Random string; Search spaces; Small size; Upper layer; Visualization environment, Information technology; Parameter estimation; Visualization, Genetic algorithms
note: cited By 0; Conference of 2010 International Symposium on Information Technology, ITSim'10 ; Conference Date: 15 June 2010 Through 17 June 2010; Conference Code:81915
abstract: This paper applied an Interactive Genetic Algorithm (IGA) technique to design an visualization environment for search space. In past IGA works with a small size of population and generations to prevent the user fatigue, in this way small search space is used for evolving solutions. The proposed work is based on the use of objective function for assigning fitness, visualization of multidimensional search space and interaction of user after several generations. The interaction of user only required for proposing genes values at different locations of particular generation. In our proposed method, the multidimensional data of each generation is represented as 2-D graphs. The selection and interaction of interesting part of search space helps to generate more potential solutions. For experiment, we have selected Parametric L-System, in which both symbols and numerical parameters are evolved using Genetic Algorithm (GA). The output of this visualization helps to generate random strings and parameters, which are used to construct rules for Parametric L-System. Since Parametric L-System is involved, 2 Layered GA is introduced in which upper layer evolved symbols and lower layer evolved parameters. © 2010 IEEE.
date: 2010
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-78049422947&doi=10.1109%2fITSIM.2010.5561592&partnerID=40&md5=00fbffe3eca2a0d4e44559d9b7f67322
id_number: 10.1109/ITSIM.2010.5561592
full_text_status: none
publication: Proceedings 2010 International Symposium on Information Technology - Engineering Technology, ITSim'10
volume: 2
place_of_pub: Kuala Lumpur
pagerange: 999-1004
refereed: TRUE
isbn: 9781424467181
citation:   Farooq, H. and Zakaria, M.N. and Hassan, M.F. and Sulaiman, S.  (2010) A multidimensional search space using Interactive Genetic Algorithm.  In: UNSPECIFIED.