Learning and Intelligent Optimization 4th International Conference, LION 4, Venice, Italy, January 18-22, 2010. Selected Papers /

This book constitutes the thoroughly refereed proceedings of the 4th International Conference on Learning and Intelligent Optimization, LION 4, held in Venice, Italy, in January 2010. The 23 regular and 12 short papers were carefully reviewed and selected from 87 submissions. Topics covered include...

Full description

Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Blum, Christian. (Editor), Battiti, Roberto. (Editor)
Format: Electronic
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
Series:Lecture Notes in Computer Science, 6073
Subjects:
Online Access:https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-13800-3
LEADER 03067nam a22005535i 4500
001 10857
003 DE-He213
005 20130725200527.0
007 cr nn 008mamaa
008 100618s2010 gw | s |||| 0|eng d
020 # # |a 9783642138003  |9 978-3-642-13800-3 
024 7 # |a 10.1007/978-3-642-13800-3  |2 doi 
050 # 4 |a QA76.9.A43 
072 # 7 |a UMB  |2 bicssc 
072 # 7 |a COM051300  |2 bisacsh 
082 0 4 |a 005.1  |2 23 
100 1 # |a Blum, Christian.  |e editor. 
245 1 0 |a Learning and Intelligent Optimization  |b 4th International Conference, LION 4, Venice, Italy, January 18-22, 2010. Selected Papers /  |c edited by Christian Blum, Roberto Battiti.  |h [electronic resource] : 
264 # 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg,  |c 2010. 
300 # # |a XIV, 344p. 97 illus.  |b online resource. 
336 # # |a text  |b txt  |2 rdacontent 
337 # # |a computer  |b c  |2 rdamedia 
338 # # |a online resource  |b cr  |2 rdacarrier 
347 # # |a text file  |b PDF  |2 rda 
490 1 # |a Lecture Notes in Computer Science,  |v 6073  |x 0302-9743 ; 
520 # # |a This book constitutes the thoroughly refereed proceedings of the 4th International Conference on Learning and Intelligent Optimization, LION 4, held in Venice, Italy, in January 2010. The 23 regular and 12 short papers were carefully reviewed and selected from 87 submissions. Topics covered include metaheuristics (tabu search, iterated local search, evolutionary algorithms, memetic algorithms, ant colony optmization, particle swarm optimization); hybridizations of metaheuristics with other techniques for optimization; supervised, unsupervised and reinforcement learning applied to heuristic search, reactive search optimization; self-adaptive algorithms; hyperheuristics; algorithms for dynamic, stochastic and multi-objective problems; interfaces between discrete and continuous optimization; experimental analysis and modeling of algorithms; parallelization of optimization algorithms; memory-based optimization; and software engineering of learning and intelligent optimization methods. 
650 # 0 |a Computer science. 
650 # 0 |a Computer Communication Networks. 
650 # 0 |a Computer software. 
650 # 0 |a Computational complexity. 
650 # 0 |a Artificial intelligence. 
650 # 0 |a Optical pattern recognition. 
650 1 4 |a Computer Science. 
650 2 4 |a Algorithm Analysis and Problem Complexity. 
650 2 4 |a Computation by Abstract Devices. 
650 2 4 |a Artificial Intelligence (incl. Robotics). 
650 2 4 |a Computer Communication Networks. 
650 2 4 |a Pattern Recognition. 
650 2 4 |a Discrete Mathematics in Computer Science. 
700 1 # |a Battiti, Roberto.  |e editor. 
710 2 # |a SpringerLink (Online service) 
773 0 # |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783642137990 
830 # 0 |a Lecture Notes in Computer Science,  |v 6073  |x 0302-9743 ; 
856 4 0 |u https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-13800-3 
912 # # |a ZDB-2-SCS 
912 # # |a ZDB-2-LNC 
950 # # |a Computer Science (Springer-11645)