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Evolutionary Computation in Combinatorial Optimization : 12th European Conference, EvoCOP 2012, Málaga, Spain, April 11-13, 2012, Proceedings / edited by Jin-Kao Hao, Martin Middendorf.

SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online

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Format:
Book
Contributor:
Hao, J.-K. (Jin-Kao), editor.
Middendorf, Martin, editor.
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
LNCS sublibrary. Theoretical computer science and general issues ; SL 1, 7245.
Theoretical Computer Science and General Issues ; 7245
Language:
English
Subjects (All):
Algorithms.
Computers.
Pattern perception.
Computer science--Mathematics.
Computer science.
Mathematical statistics.
Algorithm Analysis and Problem Complexity.
Computation by Abstract Devices.
Pattern Recognition.
Discrete Mathematics in Computer Science.
Probability and Statistics in Computer Science.
Local Subjects:
Algorithm Analysis and Problem Complexity.
Computation by Abstract Devices.
Pattern Recognition.
Discrete Mathematics in Computer Science.
Probability and Statistics in Computer Science.
Physical Description:
1 online resource (XII, 264 pages) : 62 illustrations.
Edition:
First edition 2012.
Contained In:
Springer eBooks
Place of Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
System Details:
text file PDF
Summary:
This book constitutes the refereed proceedings of the 12th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2012, held in Málaga, Spain, in April 2012, colocated with the Evo* 2012 events EuroGP, EvoBIO, EvoMUSART, and EvoApplications. . The 22 revised full papers presented were carefully reviewed and selected from 48 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, economic, 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.
Other Format:
Printed edition:
ISBN:
978-3-642-29124-1
9783642291241
Access Restriction:
Restricted for use by site license.

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