The Zoo Simulation With Animal Behavior Optimazation Based Genetic Algorithm

Fora, Krisna Yuwono (2014) The Zoo Simulation With Animal Behavior Optimazation Based Genetic Algorithm. In: Rethinking The Human Dignity and Nation Identity : A Review Perspective of Arts and Arts Education. The 1st International Conference for Arts and Arts Education on Indonesia (ICAAE) . UNY Press, Yogyakarta, pp. 480-491. ISBN 978-602-7981-26-3

	Text 1_Krisna_proceeding-ICAAE-2014-cover-content.PDF - Published Version Download (3MB)
	Text 3_Krisna_proceding_-ICAAE Indonesia_-_Simulasi_Kebun_Binatang_Dengan_Optimasi_Prilaku_Hewan_Berbasis_GA_-_Stikom_Surabaya.pdf - Accepted Version Download (191kB)

Search this title on : |

Abstract

The character and behavior simulation of archipelago animals in the era of globalization is very interesting when applied to the school children learning and it can be further developed to research about the behavior of endangered species which now they are very difficult to find. With the optimization of the use of behavior-based Genetic Algorithm (GA) in the zoo simulation will provide a diversity of local wildlife movements are optimized in accordance with good range between the minimum and maximum values from a data bank of animal behavior. The range of values from minimum to maximum to will make a difference between the behavior of individual animals within a species is virtual so that it looks natural in a real environment.

Export Record

ASCII Citation Atom BibTeX Dublin Core EP3 XML EndNote HTML Citation JSON METS MODS MPEG-21 DIDL OpenURL ContextObject OpenURL ContextObject in Span RDF+N-Triples RDF+N3 RDF+XML Refer Reference Manager Simple Metadata

Download Statistics

Downloads over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Actions (login required)

View Item