Advances in Operational Researches
Arcler Press (Verlag)
978-1-77469-175-5 (ISBN)
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This book covers different topics related to advanced operational researches, including optimization and linear programming, graph-based techniques and route planning, operations research in logistics problems, and methods for resource allocation. Section 1 focuses on optimization and linear programming, describing a new approach for solving linear fractional programming problems with duality concept, a particle swarm optimization algorithm for solving pricing and lead time quotation in a dual-channel supply chain with multiple customer classes, inverting the multiple-assisting tool network problem to solve for optimality, a dynamic active-set method for linear programming, and the sliding gradient algorithm for linear programming. Section 2 focuses on graph-based techniques and route planning, describing route optimization of electric vehicle considering soft time windows and two ways of power replenishment, the route planning on campus bus in a University, integrating origin-destination survey and stochastic user equilibrium as a case study for route relocation, and research of UAV flight planning parameters. Section 3 focuses on operations research in logistics problems, describing optimization of urban rail transportation in emerging countries using operational research techniques, a review on strategic, tactical and operational decision planning in reverse logistics of green supply chain network design, research on agri-food cold chain logistics management system, a use case of sea-port operational efficiency by an evaluation of five Asian ports using stochastic frontier production function model, and the design of urban traffic in Ferizaj through operational research. Section 4 focuses on methods for resource allocation, describing application of the two non-zero component lemma in resource allocation, energy efficient non-cooperative methods for resource allocation in cognitive radio networks, an alternative interpretation of mixed strategies in n-person normal form games via resource allocation, and a dynamic optimization technique for resource allocation problems in a production company.
Section 1: Optimization and Linear Programming
Chapter 1 A New Approach for Solving Linear Fractional Programming Problems with Duality Concept
Chapter 2 A Particle Swarm Optimization Algorithm for Solving Pricing and Lead Time Quotation in a Dual-Channel Supply Chain with Multiple Customer Classes
Chapter 3 Inverting the Multiple-Assisting Tool Network Problem to Solve for Optimality
Chapter 4 A Dynamic Active-Set Method for Linear Programming
Chapter 5 The Sliding Gradient Algorithm for Linear Programming
Section 2: Graph-based Methods and Techniques
Chapter 6 The Route Planning on Campus Bus in H University
Chapter 7 Route Optimization of Electric Vehicle considering Soft Time Windows and Two Ways of Power Replenishment
Chapter 8 Integrating Origin-Destination Survey and Stochastic User Equilibrium: A Case Study for Route Relocation
Chapter 9 Research of UAV Flight Planning Parameters
Section 3: Operational Research Applications in Logistics
Chapter 10 Optimization of Urban Rail Transportation in Emerging Countries Using Operational Research Techniques
Chapter 11 A Review on Strategic, Tactical and Operational Decision Planning in Reverse Logistics of Green Supply Chain Network Design
Chapter 12 Research on Agri-Food Cold Chain Logistics Management System: Connotation, Structure and Operational Mechanism
Chapter 13 Sea-Port Operational Efficiency: An Evaluation of Five Asian Ports Using Stochastic Frontier Production Function Model
Chapter 14 The Design of Urban Traffic in Ferizaj through Operational Research
Section 4: Operational Research Applications in Logistics
Chapter 15 Application of the Two Nonzero Component Lemma in Resource Allocation
Chapter 16 Energy Efficient Non-Cooperative Methods for Resource Allocation in Cognitive Radio Networks
Chapter 17 An Alternative Interpretation of Mixed Strategies in N-Person Normal Form Games Via Resource Allocation
Chapter 18 On a Dynamic Optimization Technique for Resource Allocation Problems in a Production Company
Erscheinungsdatum | 11.04.2022 |
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Sprache | englisch |
Maße | 152 x 229 mm |
Gewicht | 852 g |
Themenwelt | Informatik ► Office Programme ► Outlook |
ISBN-10 | 1-77469-175-2 / 1774691752 |
ISBN-13 | 978-1-77469-175-5 / 9781774691755 |
Zustand | Neuware |
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