| Veroyatnostnye Geneticheskie Algoritmy Optimizatsii Slozhnykh Sistem Contributor(s): Sopov Evgeniy (Author) |
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ISBN: 3848415097 ISBN-13: 9783848415090 Publisher: LAP Lambert Academic Publishing OUR PRICE: $50.27 Product Type: Paperback Language: Russian Published: February 2012 |
| Additional Information |
| BISAC Categories: - Mathematics | Functional Analysis |
| Physical Information: 0.25" H x 6" W x 9" (0.36 lbs) 104 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: Neobkhodimost' v razrabotke modeley slozhnykh sistem voznikaet v razlichnykh oblastyakh nauki i tekhniki: matematika, ekonomika, meditsina i dr. Pri razrabotke modeley chasto voznikayut zadachi optimizatsii, kotorye obladayut takimi svoystvami, kak mnogoekstremal'nost', mnogokriterial'nost', algoritmicheskoe zadanie funktsiy, slozhnaya konfiguratsiya dopustimoy oblasti, nalichie neskol'kikh tipov peremennykh i t.d. Takie zadachi prakticheski ne reshayutsya s pomoshch'yu klassicheskikh protsedur optimizatsii, chto privodit k neobkhodimosti razrabatyvat' i primenyat' bolee effektivnye i universal'nye metody. K takim metodam otnosyatsya, v chastnosti, geneticheskie algoritmy. Dannaya rabota posvyashchena issledovaniyu novogo stokhasticheskogo poiskovogo algoritma, postroennogo na baze standartnogo geneticheskogo. Takoy algoritm poluchil nazvanie - veroyatnostnyy geneticheskiy algoritm (ili VGA). Ego otlichie ot standartnogo geneticheskogo algoritma, v chastnosti, sostoit v tom, chto v nem novye resheniya poluchayutsya na osnove raspredeleniy statisticheskoy informatsii o poiskovom prostranstve. Takim obrazom, nakaplivaya i ispol'zuya etu informatsiyu, dannye algoritmy samostoyatel'no mogut adaptirovat'sya k reshaemoy zadache. |