Geodesic
Bioinspired search at the solution
News of the Kabardin-Balkar scientific center of RAS, no. 6 (2014), pp. 58-65 Cet article a éte moissonné depuis la source Math-Net.Ru

Voir la notice de l'article

The paper suggests an integrated search scheme which allows to improve the solutions at each stage of the process of accommodation. Technology is proposed for constructing genetic operators adapted to the problem of locating components of VLSI. Bioinspired search based on the sequential operation of genetic and swarm algorithms is studied. Experimental studies showing that the time complexity of the developed approach does not go beyond polynomial dependence are conducted.
Keywords: swarm algorithm, genetic algorithm, evolutionary algorithm
Mots-clés : adaptation, population. 
@article{IZKAB_2014_6_a7,
     author = {E. V. Kuliev and D. Y. Zaporozhets and A. M. Ksalov and A. Y. Kudaev and A. A. Kokov and M. M. Oshkhunov},
     title = {Bioinspired search at the solution},
     journal = {News of the Kabardin-Balkar scientific center of RAS},
     pages = {58--65},
     year = {2014},
     number = {6},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/IZKAB_2014_6_a7/}
}
TY  - JOUR
AU  - E. V. Kuliev
AU  - D. Y. Zaporozhets
AU  - A. M. Ksalov
AU  - A. Y. Kudaev
AU  - A. A. Kokov
AU  - M. M. Oshkhunov
TI  - Bioinspired search at the solution
JO  - News of the Kabardin-Balkar scientific center of RAS
PY  - 2014
SP  - 58
EP  - 65
IS  - 6
UR  - http://geodesic.mathdoc.fr/item/IZKAB_2014_6_a7/
LA  - ru
ID  - IZKAB_2014_6_a7
ER  - 
%0 Journal Article
%A E. V. Kuliev
%A D. Y. Zaporozhets
%A A. M. Ksalov
%A A. Y. Kudaev
%A A. A. Kokov
%A M. M. Oshkhunov
%T Bioinspired search at the solution
%J News of the Kabardin-Balkar scientific center of RAS
%D 2014
%P 58-65
%N 6
%U http://geodesic.mathdoc.fr/item/IZKAB_2014_6_a7/
%G ru
%F IZKAB_2014_6_a7
E. V. Kuliev; D. Y. Zaporozhets; A. M. Ksalov; A. Y. Kudaev; A. A. Kokov; M. M. Oshkhunov. Bioinspired search at the solution. News of the Kabardin-Balkar scientific center of RAS, no. 6 (2014), pp. 58-65. http://geodesic.mathdoc.fr/item/IZKAB_2014_6_a7/

[1] V. V. Kureichik, D. Yu. Zaporozhets, “Sovremennye problemy pri razmeschenii elementov SBIS”, Izvestiya Yuzhnogo federalnogo universiteta. Tekhnicheskie nauki, 120:7 (2011), 68–73

[2] V. V. Kureichik, Vl. Vl. Kureichik, “Bioinspirirovannyi poisk pri proektirovanii i upravlenii”, Izvestiya Yuzhnogo federalnogo universiteta. Tekhnicheskie nauki, 136:11 (136) (2012), 178–183

[3] V. V. Kureichik, V. M. Kureichik, S. I. Rodzin, Teoriya evolyutsionnykh vychislenii, FIZMATLIT, M., 2012

[4] E. V. Kuliev, A. A. Lezhebokov, “O gibridnom algoritme razmescheniya komponentov SBIS”, Izvestiya Yuzhnogo federalnogo universiteta. Tekhnicheskie nauki, 136:11 (136) (2012), 188–192

[5] V. V. Kureichik, Vl. Vl. Kureichik, “Arkhitektura gibridnogo poiska pri proektirovanii”, Izvestiya Yuzhnogo federalnogo universiteta. Tekhnicheskie nauki, 132:7 (2012), 22–27

[6] V. V. Kureichik, V. M. Kureichik, “Geneticheskii algoritm razmescheniya grafa”, Izvestiya Rossiiskoi akademii nauk. Teoriya i sistemy upravleniya, 2000, no. 5, 67–79

[7] V. V. Kureichik, D. Yu. Zaporozhets, “Roevoi algoritm v zadachakh optimizatsii”, Izvestiya Yuzhnogo federalnogo universiteta. Tekhnicheskie nauki, 108:7 (2010), 28–32

[8] V. V. Kureichik, E. E. Polupanova, “Evolyutsionnaya optimizatsiya na osnove algoritma kolonii pchel”, Izvestiya YuFU. Tekhnicheskie nauki, 2009, no. 12 (101), 41–46

[9] V. V. Kureichik, P. V. Sorokoletov, “Kontseptualnaya model predstavleniya reshenii v geneticheskikh algoritmakh”, Izvestiya YuFU. Tekhnicheskie nauki, 86:9 (2008), 7–12

[10] E. V. Kuliev, A. A. Lezhebokov, “Issledovanie kharakteristik gibridnogo algoritma razmescheniya”, Izvestiya YuFU. Tekhnicheskie nauki, 2013, no. 3, 255–261