Doprava zdarma pre objednávky nad 59,99 € s Packetou a SPS Boxmi.

Zistiť stav objednávky

Staňte sa súčasťou komunity milovníkov kníh z celého sveta a získajte hromadu výhod. Založiť účet zdarma

Doprava zadarmo s Packetou nad 59.99 €

Kuriér DPD 2.99 € Zberné miesto GLS 2.49 € SPS 3.99 € SPS Parcel Shop 2.99 € Packeta kurýr 3.99 € Pošta 3.99 € Zberné miesto DPD 2.99 € Kuriér GLS 3.99 € Packeta 2.99 €

Kontakt

Ako nakupovať

Pomoc

Môj účet

▸ Prázdny :-(

Doprava zdarma pre objednávky nad 59,99 € s Packetou a SPS Boxmi.

Evolutionary Computation in Combinatorial Optimization

Name: Evolutionary Computation in Combinatorial Optimization
Brand: Springer, Berlin
SKU: 01657758
Price: 55.93 EUR
Availability: InStock
Author: Peter Merz
ISBN: 9783642203633

11th European Conference, EvoCOP 2011, Torino, Italy, April 27-29, 2011, Proceedings

Peter Merz

Jin-Kao Hao

Jazyk

Angličtina

Kniha Brožovaná

Libristo kód: 01657758

Nakladateľstvo Springer, Berlin, november 2010

This book constitutes the refereed proceedings of the 11th European Conference on Evolutionary Compu... Celý popis

Libristo kód: 01657758

135 b

55.93 €

Skladom u dodávateľa v malom množstve Odosielame za 11-15 dní

30 dní na vrátenie tovaru

Zákazníci tiež kúpili

Heimat Gerda Gabriel

Audio CD

17.73 €

Reiki Eileen Curteis

Brožovaná

19.35 €

BABADADA, Srbija (Latinski pisanje) - magyar nyelv, slikovni rečnik - kepes szotar BABADADA GMBH

Brožovaná

26.95 €

Asia Dream

Audio CD

13.77 €

Oniria Patrick Senécal

Brožovaná

14.38 €

Apocalipsis: Estudio bíblico que expone la revelación de los últimos tiempos Gonzalo Sanabria

Brožovaná

12.56 €

This book constitutes the refereed proceedings of the 11th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2011, held in Torino, Italy, in April 2011. The 22 revised full papers presented were carefully reviewed and selected from 42 submissions. The papers present the latest research and discuss current developments and applications in metaheuristics - a paradigm to effectively solve difficult combinatorial optimization problems appearing in various industrial, economical, and scientific domains. Prominent examples of metaheuristics are evolutionary algorithms, simulated annealing, tabu search, scatter search, memetic algorithms, variable neighborhood search, iterated local search, greedy randomized adaptive search procedures, estimation of distribution algorithms, and ant colony optimization.