Metaheuristics for Hard Optimization Simulated Annealing, Tabu Search, Evolutionary and Genetic Algorithms, Ant Colonies,… Methods and Case Studies /

• Κύριοι συγγραφείς: Dréo, Johann (Συγγραφέας), Siarry, Patrick (Συγγραφέας), Pétrowski, Alain (Συγγραφέας), Taillard, Eric (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2006.
• Θέματα: Mathematics.; Operations research.; Decision making.; Computers.; Mathematical optimization.; Applied mathematics.; Engineering mathematics.; Control engineering.; Robotics.; Mechatronics.; Engineering economics.; Engineering economy.; Optimization.; Operation Research/Decision Theory.; Computing Methodologies.; Appl.Mathematics/Computational Methods of Engineering.; Engineering Economics, Organization, Logistics, Marketing.; Control, Robotics, Mechatronics.
• Φυσική περιγραφή: XII, 372 p. online resource.
• ISBN: 9783540309666

Metaheuristics for Hard Optimization comprises of three parts. The first part is devoted to the detailed presentation of the four most widely known metaheuristics: • the simulated annealing method, • tabu search, • the evolutionary algorithms, • ant colony algorithms. Each one of these metaheuristics is actually a family of methods, of which the essential elements are discussed. In the second part, the book presents some other less widespread metaheuristics, then, extensions of metaheuristics and some ways of research are described . The problem of the choice of a metaheuristic is posed and solution methods are discussed. The last part concentrates on three case studies from telecommunications, air traffic control, and vehicle routing.