Applied optimization problems
Küçük Resim Yok
Tarih
2024
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Applied 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.
Açıklama
Anahtar Kelimeler
Calculus of Variations, Inventory Control, Linear and Nonlinear İnteger Programming, Mean-variance Analysis, Network Programing, Queuing Theory, Reliability, Risk Measurement, Supply Chain
Kaynak
Decision-Making Models: A Perspective of Fuzzy Logic and Machine Learning
WoS Q Değeri
Scopus Q Değeri
N/A
Cilt
Sayı
Künye
Rahmaniperchkolaei, B., Taeeb, Z., Shahriari, M., Lotfi, F. H., & Saati, S. (2024). Applied optimization problems. In Decision-Making Models (pp. 237-299). Academic Press.
