An Introduction to Metaheuristics for Optimization

The authors stress the relative simplicity, efficiency, flexibility of use, and suitability of various approaches used to solve difficult optimization problems. The authors are experienced, interdisciplinary lecturers and researchers and in their explanations they demonstrate many shared foundationa...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Chopard, Bastien (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Tomassini, Marco (http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
Έκδοση:1st ed. 2018.
Σειρά:Natural Computing Series,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 03289nam a2200565 4500
001 978-3-319-93073-2
003 DE-He213
005 20191220125321.0
007 cr nn 008mamaa
008 181102s2018 gw | s |||| 0|eng d
020 |a 9783319930732  |9 978-3-319-93073-2 
024 7 |a 10.1007/978-3-319-93073-2  |2 doi 
040 |d GrThAP 
050 4 |a Q334-342 
072 7 |a UYQ  |2 bicssc 
072 7 |a COM004000  |2 bisacsh 
072 7 |a UYQ  |2 thema 
082 0 4 |a 006.3  |2 23 
100 1 |a Chopard, Bastien.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 3 |a An Introduction to Metaheuristics for Optimization  |h [electronic resource] /  |c by Bastien Chopard, Marco Tomassini. 
250 |a 1st ed. 2018. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2018. 
300 |a XII, 226 p. 44 illus. in color.  |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 Natural Computing Series,  |x 1619-7127 
505 0 |a Problems, Algorithms, Computational Complexity -- Search Space -- Tabu Search -- Simulated Annealing -- Ant Colony Optimization (ACO) -- Non-PSO Optimization -- Firefly Algorithm, Cuckoo Algorithm, Lévy Flights -- Evolutionary Algorithms: Foundations -- Evolutionary Algorithms: Advanced -- Phase Transition in Optimization Problems -- Performance and Limitations of Metaheuristics -- Statistical Analysis of Research Spaces. 
520 |a The authors stress the relative simplicity, efficiency, flexibility of use, and suitability of various approaches used to solve difficult optimization problems. The authors are experienced, interdisciplinary lecturers and researchers and in their explanations they demonstrate many shared foundational concepts among the key methodologies. This textbook is a suitable introduction for undergraduate and graduate students, researchers, and professionals in computer science, engineering, and logistics. 
650 0 |a Artificial intelligence. 
650 0 |a Mathematical optimization. 
650 0 |a Computational intelligence. 
650 0 |a Operations research. 
650 0 |a Decision making. 
650 0 |a Computers. 
650 1 4 |a Artificial Intelligence.  |0 http://scigraph.springernature.com/things/product-market-codes/I21000 
650 2 4 |a Optimization.  |0 http://scigraph.springernature.com/things/product-market-codes/M26008 
650 2 4 |a Computational Intelligence.  |0 http://scigraph.springernature.com/things/product-market-codes/T11014 
650 2 4 |a Operations Research/Decision Theory.  |0 http://scigraph.springernature.com/things/product-market-codes/521000 
650 2 4 |a Theory of Computation.  |0 http://scigraph.springernature.com/things/product-market-codes/I16005 
700 1 |a Tomassini, Marco.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783319930725 
776 0 8 |i Printed edition:  |z 9783319930749 
830 0 |a Natural Computing Series,  |x 1619-7127 
856 4 0 |u https://doi.org/10.1007/978-3-319-93073-2  |z Full Text via HEAL-Link 
912 |a ZDB-2-SCS 
950 |a Computer Science (Springer-11645)