Tekijä: Mauro Birattari; Christian Blum; Anders Lyhne Christensen; Andries P. Engelbrecht; Roderich Groß; Marco Dorigo; T Stützle Kustantaja: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2012) Saatavuus: Noin 17-20 arkipäivää
Tekijä: Marco Dorigo (ed.); Mauro Birattari (ed.); Christian Blum (ed.); Luca M. Gambardella (ed.); Francesco Mondada (ed.); Stützl Kustantaja: Springer (2004) Saatavuus: Noin 17-20 arkipäivää
Tekijä: Marco Dorigo; Luca Maria Gambardella; Mauro Birattari; Alcherio Martinoli; Riccardo Poli; Thomas Stützle Kustantaja: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2006) Saatavuus: Noin 17-20 arkipäivää
Tekijä: Thomas Stützle; Mauro Birattari; Holger H. Hoos Kustantaja: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2007) Saatavuus: Noin 17-20 arkipäivää
Tekijä: Marco Dorigo (ed.); Mauro Birattari (ed.); Christian Blum (ed.); Maurice Clerc (ed.); Thomas Stützle (ed.); Alan Winfield Kustantaja: Springer (2008) Saatavuus: Noin 17-20 arkipäivää
Tekijä: Thomas Stützle; Mauro Birattari; Holger H. Hoos Kustantaja: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2009) Saatavuus: Noin 17-20 arkipäivää
Tekijä: Marco Dorigo (ed.); Mauro Birattari (ed.); Gianni A. Di Caro (ed.); René Doursat (ed.); Andries P. Engelbrecht (ed.); Flore Kustantaja: Springer (2010) Saatavuus: Noin 17-20 arkipäivää
Tekijä: Marco Dorigo (ed.); Mauro Birattari (ed.); Simon Garnier (ed.); Heiko Hamann (ed.); Marco Montes de Oca (ed.); Chri Solnon Kustantaja: Springer (2014) Saatavuus: Noin 17-20 arkipäivää
Tekijä: Marco Dorigo; Mauro Birattari; Xiaodong Li; Manuel López-Ibáñez; Kazuhiro Ohkura; Carlo Pinciroli; Thomas Stützle Kustantaja: Springer International Publishing AG (2016) Saatavuus: Noin 17-20 arkipäivää
Tekijä: Marco Dorigo; Mauro Birattari; Christian Blum; Anders L. Christensen; Andreagiovanni Reina; Vito Trianni Kustantaja: Springer Nature Switzerland AG (2018) Saatavuus: Noin 17-20 arkipäivää
Springer Sivumäärä: 221 sivua Asu: Pehmeäkantinen kirja Julkaisuvuosi: 2010, 28.10.2010 (lisätietoa) Kieli: Englanti
Metaheuristics are a relatively new but already established approachto c- binatorial optimization. A metaheuristic is a generic algorithmic template that can be used for ?nding high quality solutions of hard combinatorial - timization problems. To arrive at a functioning algorithm, a metaheuristic needs to be con?gured: typically some modules need to be instantiated and someparametersneedto betuned.Icallthese twoproblems"structural"and "parametric" tuning, respectively. More generally, I refer to the combination of the two problems as "tuning". Tuning is crucial to metaheuristic optimization both in academic research andforpracticalapplications.Nevertheless,relativelylittle researchhasbeen devoted to the issue. This book shows that the problem of tuning a me- heuristic can be described and solved as a machine learning problem. Using the machine learning perspective, it is possible to give a formal de?nitionofthetuningproblemandtodevelopagenericalgorithmfortuning metaheuristics.Moreover,fromthemachinelearningperspectiveitispossible tohighlightsome?awsinthecurrentresearchmethodologyandtostatesome guidelines for future empirical analysis in metaheuristics research. This book is based on my doctoral dissertation and contains results I have obtained starting from 2001 while working within the Metaheuristics Net- 1 work. During these years I have been a?liated with two research groups: INTELLEKTIK, Technische Universitat Darmstadt, Darmstadt, Germany and IRIDIA, Universite Libre de Bruxelles, Brussels, Belgium. I am the- fore grateful to the research directors of these two groups: Prof. Wolfgang Bibel, Dr. Thomas Stutzle, Prof. Philippe Smets, Prof. Hugues Bersini, and Prof. Marco Dorigo.