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Stochastic Optimization - Seeing the Optimal for the Uncertain
Editor
Listed:
- Ioannis Dritsas
Abstract
Stochastic Optimization Algorithms have become essential tools in solving a wide range of difficult and critical optimization problems. Such methods are able to find the optimum solution of a problem with uncertain elements or to algorithmically incorporate uncertainty to solve a deterministic problem. They even succeed in fighting uncertainty with uncertainty. This book discusses theoretical aspects of many such algorithms and covers their application in various scientific fields.
Individual chapters are listed in the "Chapters" tab
Suggested Citation
DOI: 10.5772/623
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Book Chapters
The following chapters of this book are listed in IDEAS- Javier Ojeda & Xavier Mininger & Mohamed Gabsi & Yongdong Li, 2011. "Optimal Design and Placement of Piezoelectric Actuators using Genetic Algorithm: Application to Switched Reluctance Machine Noise Reduction," Chapters, in: Ioannis Dritsas (ed.), Stochastic Optimization - Seeing the Optimal for the Uncertain, IntechOpen.
- Juan Gabriel Segovia-Hernandez & Erick Yair Miranda-Galindo & Julian Cabrera-Ruiz & Salvador Hernandez & Adrian Bonilla-Petriciolet, 2011. "Evaluation of Stochastic Global Optimization Methods in the Design of Complex Distillation Configurations," Chapters, in: Ioannis Dritsas (ed.), Stochastic Optimization - Seeing the Optimal for the Uncertain, IntechOpen.
- Ravi K. Nandigam & Sangtae Kim, 2011. "Understanding Protein-Ligand Interactions Using Simulated Annealing in Dimensionally Reduced Fingerprint Representation," Chapters, in: Ioannis Dritsas (ed.), Stochastic Optimization - Seeing the Optimal for the Uncertain, IntechOpen.
- Yiyu Shi & Jinjun Xiong, 2011. "Stochastic Optimization Over Correlated Data Set: A Case Study on VLSI Decoupling Capacitance Budgeting," Chapters, in: Ioannis Dritsas (ed.), Stochastic Optimization - Seeing the Optimal for the Uncertain, IntechOpen.
- Gregor Papa & Tomasz Garbolino, 2011. "Stochastic Approach to Test Pattern Generator Design," Chapters, in: Ioannis Dritsas (ed.), Stochastic Optimization - Seeing the Optimal for the Uncertain, IntechOpen.
- Xiaojun Yang & Keyi Xing, 2011. "Joint State and Parameter Estimation in Particle Filtering and Stochastic Optimization," Chapters, in: Ioannis Dritsas (ed.), Stochastic Optimization - Seeing the Optimal for the Uncertain, IntechOpen.
- Adrian Bonilla-Petriciolet & Juan Gabriel Segovia-Hernandez & Didilia I. Mendoza-Castillo & Juan Carlos Tapia-Picazo, 2011. "Phase Equilibrium Modeling in Non-Reactive Systems Using Harmony Search," Chapters, in: Ioannis Dritsas (ed.), Stochastic Optimization - Seeing the Optimal for the Uncertain, IntechOpen.
- Daniele Menniti & Nadia Scordino & Nicola Sorrentino & Antonio Violi, 2011. "Comparison among Different Sale-Bidding Strategies to Hedge against Risk in a Multi-Market Environment," Chapters, in: Ioannis Dritsas (ed.), Stochastic Optimization - Seeing the Optimal for the Uncertain, IntechOpen.
- Stanislav Jurecka, 2011. "Theoretical Model of the Physical System: Optimization by the Genetic Algorithm," Chapters, in: Ioannis Dritsas (ed.), Stochastic Optimization - Seeing the Optimal for the Uncertain, IntechOpen.
- Roberto Irizarry, 2011. "Global and Dynamic Optimization using the Artificial Chemical Process Paradigm and Fast Monte Carlo Methods for the Solution of Population Balance Models," Chapters, in: Ioannis Dritsas (ed.), Stochastic Optimization - Seeing the Optimal for the Uncertain, IntechOpen.
- Yao Ye & Cai Wandong & Li Yongjun, 2011. "Research on Network Tomography Measurement Technique," Chapters, in: Ioannis Dritsas (ed.), Stochastic Optimization - Seeing the Optimal for the Uncertain, IntechOpen.
- Wim Van Ackooij & Rene Henrion & Andris Moller & Riadh Zorgati, 2011. "Chance Constrained Programming and Its Applications to Energy Management," Chapters, in: Ioannis Dritsas (ed.), Stochastic Optimization - Seeing the Optimal for the Uncertain, IntechOpen.
- Thorsten Schumm & Wolfgang Rohringer, 2011. "Stochastic Optimization of Bose-Einstein Condensation Using a Genetic Algorithm," Chapters, in: Ioannis Dritsas (ed.), Stochastic Optimization - Seeing the Optimal for the Uncertain, IntechOpen.
- Ioannis Georgiou Dritsas, 2011. "Global Optimization of Conventional and Holey Double-Clad Fibres by Stochastic Search," Chapters, in: Ioannis Dritsas (ed.), Stochastic Optimization - Seeing the Optimal for the Uncertain, IntechOpen.
- Yeugeniy M. Gusev & Olga N. Nasonova, 2011. "Parameter Optimization for Simulating Runoff from Highlatitude River Basins Using Land Surface Model and Global Data Sets," Chapters, in: Ioannis Dritsas (ed.), Stochastic Optimization - Seeing the Optimal for the Uncertain, IntechOpen.
- Fernando Olsina & Gerardo Blanco, 2011. "Optimal Decision-Making under Uncertainty - Application to Power Transmission Investments," Chapters, in: Ioannis Dritsas (ed.), Stochastic Optimization - Seeing the Optimal for the Uncertain, IntechOpen.
- Rafael Guillermo Garcia-Caceres & Carlos A. Vega-Mejia & Juan Caballero-Villalobos, 2011. "Integral Optimization of the Container Loading Problem," Chapters, in: Ioannis Dritsas (ed.), Stochastic Optimization - Seeing the Optimal for the Uncertain, IntechOpen.
- Zongzhi Li, 2011. "Highway Transportation Project Evaluation and Selection Incorporating Risk and Uncertainty," Chapters, in: Ioannis Dritsas (ed.), Stochastic Optimization - Seeing the Optimal for the Uncertain, IntechOpen.
- Piergorgio Alotto, 2011. "Electromagnetic Device Optimization with Stochastic Methods," Chapters, in: Ioannis Dritsas (ed.), Stochastic Optimization - Seeing the Optimal for the Uncertain, IntechOpen.
More about this item
JEL classification:
- C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
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