Optimization Problems – alle Bücher, Seite 2

Stanislaus Maier-Paape, Qiji Jim Zhu, Andreas Platen, Pedro Júdice
Scalar and Vector Risk in the General Framework of Portfolio Theory

This book is the culmination of the authors¿ industry-academic collaboration in the past several years. The investigation is largely motivated by bank balance sheet management problems. The main differenc…

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Optimization and Decision Science: Operations Research, Inclusion and Equity

This volume collects peer-reviewed short papers presented at the Optimization and Decision Science conference (ODS 2022) held in Florence (Italy) from August 30th to September 2^nd^, 2022, organized by th…

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Erik Cuevas, Julio Cesar Rosas Caro, Alma Rodriguez, Paulina González Ayala
Optimization in Industrial Engineering

This textbook provides readers with a comprehensive exploration of optimization techniques in industrial engineering, with a specific focus on the Economic Order Quantity (EOQ) problem. It strikes a uniqu…

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Vimal Savsani, Vivek Patel, Ghanshyam Tejani
Truss Optimization

This book provides a comprehensive study of structural design and optimization of different truss structures for size, shape, and topology of structure. It describes truss optimization based on into three…

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Vyacheslav G. Petukhov, Alexander S. Filatyev
Through Optimization of Aerospace Vehicle Trajectories by the Pontryagin Maximum Principle

This monograph investigates the trajectory optimization problems of low- and finite-thrust aerospace vehicles and spacecraft using an indirect method based on the Pontryagin maximum principle, providing a…

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Jin Song Dong, Seyedali Mirjalili
Multi-Objective Optimization using Artificial Intelligence Techniques

This book focuses on the most well-regarded and recent nature-inspired algorithms capable of solving optimization problems with multiple objectives. Firstly, it provides preliminaries and essential defini…

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Alexander Poznyak, Julio B. Clempner
Optimization and Games for Controllable Markov Chains

This book considers a class of ergodic finite controllable Markov's chains. The main idea behind the method, described in this book, is to develop the original discrete optimization problems (or game mode…

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Proceeding of the 7th International Conference on Logistics Operations Management, GOL'24

This book presents the advances in the concept, model, method, and tools for the global supply chain management. The conference took place in Marrakesh from May 2 to May 4, 2024. The 7th edition of this c…

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Uncertainty, Constraints, and Decision Making

In the first approximation, decision making is nothing else but an optimization problem: We want to select the best alternative. This description, however, is not fully accurate: it implicitly assumes tha…

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Proceeding of the 7th International Conference on Logistics Operations Management, GOL'24

This book presents the advances in the concept, model, method, and tools for the global supply chain management. The conference took place in Marrakesh from May 2 to May 4, 2024. The 7th edition of this c…

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Stephanie Stahl Michael J Brusco
Linear And Nonlinear Optimization Using Spreadsheets

The use of spreadsheets to obtain solutions to a diverse array of examples offers a reader-friendly way of addressing a topic (optimization) that can sometimes be viewed as intimidating. Many people are r…

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Melinda Hagedorn
Minimization Problems for the Witness Beam in Relativistic Plasma Cavities

This thesis deals with an optimization problem from the field of theoretical plasma physics. Specifically, it deals with the question of how the accelerated electrons are spatially arranged in a plasma wa…

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Ari-Pekka Perkkiö, Teemu Pennanen
Convex Stochastic Optimization

This book studies a general class of convex stochastic optimization (CSO) problems that unifies many common problem formulations from operations research, financial mathematics and stochastic optimal cont…

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New Directions on Hybrid Intelligent Systems Based on Neural Networks, Fuzzy Logic, and Optimization Algorithms

This book contains a collection of papers focused on hybrid intelligent systems based on soft computing techniques. In this book, new directions on the theoretical developments of fuzzy logic, neural netw…

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Hybrid Intelligent Systems Based on Extensions of Fuzzy Logic, Neural Networks and Metaheuristics

In this book, recent theoretical developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, are presented. In addition, the above-mentioned methods are…

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Andrzej Ruszczy¿ski, Darinka Dentcheva
Risk-Averse Optimization and Control

This book offers a comprehensive presentation of the theory and methods of risk-averse optimization and control. Problems of this type arise in finance, energy production and distribution, supply chain ma…

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