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[null,"1.","Record Nr.",null,"UNINA9910811145003321"]
[null,null,"Autore",null,"Kumar Kaushik"]
[null,null,"Titolo",null,"Optimization for engineering problems / / edited by Kaushik Kumar and J. Paulo Davim"]
[null,null,"Pubbl/distr/stampa",null,"London, England ; ; Hoboken, New Jersey : , : ISTE : , : Wiley, , [2019]"]
[{"$nulls":4},"©2019"]
[null,null,"ISBN",null,"1-119-64461-5"]
[{"$nulls":4},"1-119-64455-0"]
[{"$nulls":4},"1-119-64460-7"]
[null,null,"Edizione",null,"[1st edition]"]
[null,null,"Descrizione fisica",null,"1 online resource (193 pages)"]
[null,null,"Collana",null,"Systems and industrial engineering series"]
[{"$nulls":4},"THEi Wiley ebooks."]
[null,null,"Disciplina",null,"620.001171"]
[null,null,"Soggetti",null,"Systems engineering"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,null,"Sommario/riassunto","Optimization is central to any problem involving decision-making in engineering. Optimization theory and methods deal with selecting the best option regarding the given objective function or performance index. New algorithmic and theoretical techniques have been developed for this purpose, and have rapidly diffused into other disciplines. As a result, our knowledge of all aspects of the field has grown even more profound.  In Optimization for Engineering Problems, eminent researchers in the field present the latest knowledge and techniques on the subject of optimization in engineering. Whereas the majority of work in this area focuses on other applications, this book applies advanced and algorithm-based optimization techniques specifically to problems in engineering."]