Description: Evolutionary Computation in Combinatorial Optimization by Jano van Hemert, Carlos Cotta Estimated delivery 3-12 business days Format Paperback Condition Brand New Description Coverage in this proceedings volume presents the latest research and details current developments and applications in metaheuristics, a paradigm to effectively solve difficult combinatorial optimization problems in industry, economics, and science. Publisher Description Metaheuristics have been shown to be e?ective for di?cult combinatorial - timization problems appearing in various industrial, economical, and scienti?c domains. Prominent examples of metaheuristics are evolutionary algorithms, tabu search, simulated annealing, scatter search, memetic algorithms, variable neighborhood search, iterated local search, greedy randomized adaptive search procedures, ant colony optimization and estimation of distribution algorithms. Problems solved successfully include scheduling, timetabling, network design, transportation and distribution, vehicle routing, the travelling salesman pr- lem, packing and cutting, satis?ability and general mixed integer programming. EvoCOPbeganin2001andhasbeenheldannuallysincethen.Itwasthe?rst event speci?cally dedicated to the application of evolutionary computation and related methods to combinatorial optimization problems. Originally held as a workshop,EvoCOPbecameaconferencein2004.Theeventsgaveresearchersan excellent opportunity to present their latest research and to discuss current - velopments and applications. Following the general trend of hybrid metaheur- tics and diminishing boundaries between the di?erent classes of metaheuristics, EvoCOP has broadened its scope over the last years and invited submissions on any kind of metaheuristic for combinatorial optimization. Details ISBN 3540786031 ISBN-13 9783540786030 Title Evolutionary Computation in Combinatorial Optimization Author Jano van Hemert, Carlos Cotta Format Paperback Year 2008 Pages 292 Edition 2008th Publisher Springer-Verlag Berlin and Heidelberg GmbH & Co. KG GE_Item_ID:144089468; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
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ISBN-13: 9783540786030
Book Title: Evolutionary Computation in Combinatorial Optimization
Number of Pages: Xii, 292 Pages
Language: English
Publication Name: Evolutionary Computation in Combinatorial Optimization : 8th European Conference, EvoCOP 2008, Naples, Italy, March 26-28, 2008, Proceedings
Publisher: Springer Berlin / Heidelberg
Subject: Programming / General, Programming / Algorithms, Numerical Analysis, Computer Science, Neural Networks, Combinatorics
Publication Year: 2008
Type: Textbook
Item Weight: 16.6 Oz
Item Length: 9.3 in
Author: Jano Van Hemert
Subject Area: Mathematics, Computers
Series: Lecture Notes in Computer Science Ser.
Item Width: 6.1 in
Format: Trade Paperback