Karl F. Doerner (ed.); Michel Gendreau (ed.); Peter Greistorfer (ed.); Walter Gutjahr (ed.); Richard F. Hartl (ed.); Reiman Springer (2007) Saatavuus: Tilaustuote Kovakantinen kirja
Karl F. Doerner (ed.); Michel Gendreau (ed.); Peter Greistorfer (ed.); Walter Gutjahr (ed.); Richard F. Hartl (ed.); Reiman Springer (2010) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Ed Earl Repp; Leslie F. Stone; Edward E Chappelow; Walter Kateley; L. A. Eschbach; Wood Jackson Lulu.com (2014) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Walter H. Hörl (ed.); Karl-Martin Koch (ed.); Robert M. Lindsay (ed.); C. Ronco (ed.); J.F. Winchester (ed.) Springer (2014) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Peter F. Stadler (ed.); Maria Emilia M. T. Walter (ed.); Maribel Hernandez-Rosales (ed.); Marcelo M. Brigido (ed.) Springer (2021) Saatavuus: Tilaustuote Pehmeäkantinen kirja
J.A. Covas (ed.); J.F. Agassant (ed.); A.C. Diogo (ed.); J. Vlachopoulos (ed.); K. Walters (ed.) Springer (2010) Saatavuus: Tilaustuote Pehmeäkantinen kirja
Springer Sivumäärä: 410 sivua Asu: Kovakantinen kirja Painos: 2007 Julkaisuvuosi: 2007, 23.08.2007 (lisätietoa) Kieli: Englanti
The aim of Metaheuristics: Progress in Complex Systems Optimization is to provide several different kinds of information: a delineation of general metaheuristics methods, a number of state-of-the-art articles from a variety of well-known classical application areas as well as an outlook to modern computational methods in promising new areas. Therefore, this book may equally serve as a textbook in graduate courses for students, as a reference book for people interested in engineering or social sciences, and as a collection of new and promising avenues for researchers working in this field.
Highlighted are recent developments in the areas of Simulated Annealing, Path Relinking, Scatter Search, Tabu Search, Variable Neighborhood Search, Hyper-heuristics, Constraint Programming, Iterated Local Search, GRASP, bio-inspired algorithms like Genetic Algorithms, Memetic Algorithms, Ant Colony Optimization or Swarm Intelligence, and several other paradigms.
