Applied optimization problems

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dc.authorscopusidMohammadreza Shahriari / 56809020200
dc.authorscopusidFarhad Hosseinzadeh Lotfi / 59309473600
dc.authorwosidMohammadreza Shahriari / HKG-8762-2023
dc.authorwosidFarhad Hosseinzadeh Lotfi / J-4615-2019
dc.contributor.authorRahmaniperchkolaei, Bijan
dc.contributor.authorTaeeb, Zohreh
dc.contributor.authorShahriari, Mohammadreza
dc.contributor.authorLotfi, Farhad Hosseinzadeh
dc.contributor.authorSaati, Saber
dc.date.accessioned2025-04-18T07:54:41Z
dc.date.available2025-04-18T07:54:41Z
dc.date.issued2024
dc.departmentİstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Yazılım Mühendisliği Bölümü
dc.description.abstractApplied Optimization, a pivotal discipline in various fields, involves the strategic utilization of mathematical techniques to enhance decision-making, resource allocation, and problem-solving across diverse domains. This abstract highlights the significance of Applied Optimization by delving into its multifaceted importance. In an era marked by intricate challenges and resource constraints, Applied Optimization emerges as a potent tool to streamline complex processes. Its ability to identify optimal solutions within the constraints of real-world scenarios empowers organizations and individuals to maximize efficiency, minimize costs, and achieve desired outcomes. From industrial engineering and supply chain management to finance, healthcare, and beyond, Applied Optimization offers tailored solutions that resonate with specific challenges. This abstract underlines that the true essence of Applied Optimization lies not just in mathematical elegance but in its tangible impact. By optimizing processes, decisions, and strategies, Applied Optimization accelerates progress, propelling businesses toward competitive advantage and societal sectors toward sustainable development. This chapter, dedicated to exploring the realm of Applied Optimization, delves into its methodologies, models, and practical applications. It underscores the interconnectedness of optimization with the modern world, emphasizing that its impact extends far beyond theoretical constructs. Through real-world case studies and in-depth analyses, readers gain insights into how Applied Optimization reshapes industries and transforms societies. In conclusion, Applied Optimization stands as an indispensable tool that transcends disciplines and permeates every facet of our lives. This abstract encapsulates its importance as an enabler of efficient resource utilization, strategic decision-making, and the attainment of optimal outcomes in an ever-evolving world. © 2024 Elsevier Inc. All rights reserved.
dc.identifier.citationRahmaniperchkolaei, B., Taeeb, Z., Shahriari, M., Lotfi, F. H., & Saati, S. (2024). Applied optimization problems. In Decision-Making Models (pp. 237-299). Academic Press.
dc.identifier.doi10.1016/B978-0-443-16147-6.00014-1
dc.identifier.endpage299
dc.identifier.isbn978-044316147-6, 978-044316148-3
dc.identifier.scopus2-s2.0-85202845352
dc.identifier.scopusqualityN/A
dc.identifier.startpage237
dc.identifier.urihttps://hdl.handle.net/20.500.12713/6502
dc.indekslendigikaynakScopus
dc.institutionauthorShahriari, Mohammadreza
dc.institutionauthorLotfi Hosseinzadeh, Farhad
dc.institutionauthoridMohammadreza Shahriari / 0000-0002-7519-3172
dc.institutionauthoridFarhad Hosseinzadeh Lotfi / 0000-0001-5022-553X
dc.language.isoen
dc.publisherElsevier
dc.relation.ispartofDecision-Making Models: A Perspective of Fuzzy Logic and Machine Learning
dc.relation.publicationcategoryKitap Bölümü - Uluslararası
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectCalculus of Variations
dc.subjectInventory Control
dc.subjectLinear and Nonlinear İnteger Programming
dc.subjectMean-variance Analysis
dc.subjectNetwork Programing
dc.subjectQueuing Theory
dc.subjectReliability
dc.subjectRisk Measurement
dc.subjectSupply Chain
dc.titleApplied optimization problems
dc.typeBook Chapter

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