Metaheuristics

Metaheuristics exhibit desirable properties like simplicity, easy parallelizability, and ready applicability to different types of optimization problems. After a comprehensive introduction to the field, the contributed chapters in this book include explanations of the main metaheuristics techniques,...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Siarry, Patrick (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 03036nam a22005175i 4500
001 978-3-319-45403-0
003 DE-He213
005 20161224154728.0
007 cr nn 008mamaa
008 161224s2016 gw | s |||| 0|eng d
020 |a 9783319454030  |9 978-3-319-45403-0 
024 7 |a 10.1007/978-3-319-45403-0  |2 doi 
040 |d GrThAP 
050 4 |a Q334-342 
050 4 |a TJ210.2-211.495 
072 7 |a UYQ  |2 bicssc 
072 7 |a TJFM1  |2 bicssc 
072 7 |a COM004000  |2 bisacsh 
082 0 4 |a 006.3  |2 23 
245 1 0 |a Metaheuristics  |h [electronic resource] /  |c edited by Patrick Siarry. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2016. 
300 |a XVI, 489 p. 181 illus., 69 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 
505 0 |a Introduction -- Simulated Annealing -- Tabu Search -- Search in Variable Neighborhoods -- The GRASP Search Algorithm -- Evolutionary Algorithms -- Artificial Ants -- Particle Swarms -- Other Metaheuristics -- Other Social Insect Algorithms -- Extending Evolutionary Algorithms for Multiobjective Optimization -- Extending Evolutionary Algorithms for Optimization Under Constraints -- Modeling and Comparison Methods -- Hybrid Metaheuristics for Optimizing Logistics -- Metaheuristics for Vehicle Routing Problems -- Applications in Air Traffic Management. 
520 |a Metaheuristics exhibit desirable properties like simplicity, easy parallelizability, and ready applicability to different types of optimization problems. After a comprehensive introduction to the field, the contributed chapters in this book include explanations of the main metaheuristics techniques, including simulated annealing, tabu search, evolutionary algorithms, artificial ants, and particle swarms, followed by chapters that demonstrate their applications to problems such as multiobjective optimization, logistics, vehicle routing, and air traffic management. The authors are leading researchers in this domain, with considerable teaching and applications experience, and the book will be of value to industrial practitioners, graduate students, and research academics. 
650 0 |a Computer science. 
650 0 |a Operations research. 
650 0 |a Decision making. 
650 0 |a Artificial intelligence. 
650 0 |a Mathematical optimization. 
650 0 |a Computational intelligence. 
650 1 4 |a Computer Science. 
650 2 4 |a Artificial Intelligence (incl. Robotics). 
650 2 4 |a Computational Intelligence. 
650 2 4 |a Operation Research/Decision Theory. 
650 2 4 |a Optimization. 
700 1 |a Siarry, Patrick.  |e editor. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783319454016 
856 4 0 |u http://dx.doi.org/10.1007/978-3-319-45403-0  |z Full Text via HEAL-Link 
912 |a ZDB-2-SCS 
950 |a Computer Science (Springer-11645)