Introduction and overview: nature-inspired metaheuristic algorithms for engineering optimization applications

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dc.authoridhttps://orcid.org/0000-0002-3612-0640en_US
dc.authoridhttps://orcid.org/0000-0002-5229-4018en_US
dc.authoridhttps://orcid.org/0000-0002-7687-9061en_US
dc.authorscopusid36705310900en_US
dc.authorscopusid26025628100en_US
dc.authorscopusid36728602600en_US
dc.authorwosidAAH-9889-2020en_US
dc.authorwosidG-2829-2015en_US
dc.authorwosidD-7354-2015en_US
dc.contributor.authorCarbaş,
dc.contributor.authorToktaş, Abdurrahim
dc.contributor.authorÜstün, Deniz
dc.date.accessioned2024-08-01T14:48:18Z
dc.date.available2024-08-01T14:48:18Z
dc.date.issued2021en_US
dc.departmentFakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description.abstractThis chapter provides an introduction and overview of this book content titled Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications. This book supplies both theoretical standpoints and practical examples for engineering researchers and/or practitioners taking roles in obtaining optimum designs of engineering applications from various disciplines through the nature-inspired metaheuristic algorithms. Thus, the touchstone of the book is junction of the close contact between theory and practice. The chapters of the book are built on theoretical perspectives through the selected design examples picked out from engineering practices. From this aspect, this book covers different illustrative topics under two different parts which are Part I: Civil and Structural Engineering and Part II: Electrical and Electronics, Computer, and Communication Engineering including variety of nature-inspired metaheuristic algorithms’ applications for numerous engineering design optimization problems. Hence, this book not only provides an elaborative practical and theoretical guide for practitioners, but also leads opportunity for inquiring the both relatively conventional and contemporary metaheuristic algorithms for researches from different fields of engineering disciplines.en_US
dc.identifier.citationCarbas, S., Toktaş, A., ve Üstün, D. (2021). Introduction and Overview: Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications. Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications. Springer Tracts in Nature-Inspired Computing. Springer, Singapore. https://doi.org/10.1007/978-981-33-6773-9_1en_US
dc.identifier.doi0.1007/978-981-33-6773-9_1en_US
dc.identifier.endpage9en_US
dc.identifier.startpage1en_US
dc.identifier.urihttps://doi.org/10.1007/978-981-33-6773-9_1
dc.identifier.urihttps://hdl.handle.net/20.500.13099/321
dc.institutionauthorÜstün, Deniz
dc.language.isoengen_US
dc.publisherSpringer Linken_US
dc.relation.ispartofNature-Inspired Metaheuristic Algorithms for Engineering Optimization Applicationsen_US
dc.relation.publicationcategoryKitap Bölümü - Uluslararasıen_US
dc.rightsinfo:eu-repo/semantics/restrictedAccessen_US
dc.titleIntroduction and overview: nature-inspired metaheuristic algorithms for engineering optimization applicationsen_US
dc.typebookParten_US

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