{"title":"Mauro Birattari","description":null,"products":[{"product_id":"problem-of-tuning-metaheuristics-book-mauro-birattari-9781586035518","title":"The Problem of Tuning Metaheuristics","description":"A metaheuristic is a generic algorithmic template that can be used for finding high quality solutions of optimization problems. The authors show that the problem of tuning a metaheuristic can be described and solved as a machine learning problem. This thesis contains an experimental analysis of F-Race and some examples of practical applications.","brand":"WoB","offers":[{"title":"GB \/ VERY_GOOD \/ INTERNAL","offer_id":49587054674193,"sku":"GOR013065269","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/1586035517.jpg?v=1751055997"},{"product_id":"tuning-metaheuristics-book-mauro-birattari-9783642101496","title":"Tuning Metaheuristics","description":"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 twoproblemsstructuraland 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: INTELEKTIK, Technische Universit t Darmstadt, Darmstadt, Germany and IRIDIA, Universit  Libre de Bruxelles, Brussels, Belgium. I am the- fore grateful to the research directors of these two groups: Prof. Wolfgang Bibel, Dr. Thomas St tzle, Prof. Philippe Smets, Prof. Hugues Bersini, and Prof. Marco Dorigo.","brand":"WoB","offers":[{"title":"- \/ - \/ INTERNAL","offer_id":52455646363921,"sku":null,"price":0.0,"currency_code":"GBP","in_stock":true},{"title":"GB \/ NEW \/ INGRAM","offer_id":52455647052049,"sku":"NLS9783642101496","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9783642101496.jpg?v=1759374919"},{"product_id":"tuning-metaheuristics-book-mauro-birattari-9783642004827","title":"Tuning Metaheuristics","description":"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 twoproblemsstructuraland 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: INTELEKTIK, Technische Universit t Darmstadt, Darmstadt, Germany and IRIDIA, Universit  Libre de Bruxelles, Brussels, Belgium. I am the- fore grateful to the research directors of these two groups: Prof. Wolfgang Bibel, Dr. Thomas St tzle, Prof. Philippe Smets, Prof. Hugues Bersini, and Prof. Marco Dorigo.","brand":"WoB","offers":[{"title":"GB \/ NEW \/ INGRAM","offer_id":52482097152273,"sku":"NLS9783642004827","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9783642004827.jpg?v=1759852694"},{"product_id":"swarm-intelligence-book-mauro-birattari-9783642326493","title":"Swarm Intelligence","description":"This book constitutes the proceedings of the 8th International Conference on Swarm Intelligence, held in Brussels, Belgium, in September 2012. This volume contains 15 full papers, 20 short papers, and 7 extended abstracts carefully selected out of 81 submissions. The papers cover various topics of swarm intelligence.","brand":"WoB","offers":[{"title":"GB \/ NEW \/ INGRAM","offer_id":52680908079377,"sku":"NLS9783642326493","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9783642326493.jpg?v=1762314269"}],"url":"https:\/\/www.worldofbooks.com\/en-gb\/collections\/author-books-by-mauro-birattari.oembed","provider":"World of Books ","version":"1.0","type":"link"}