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Stochastic Optimization - Seeing the Optimal for the Uncertain
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19
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Published By Intech
9789533078298
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Latest Documents
Most Cited Documents
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Optimal Design and Placement of Piezoelectric Actuators using Genetic Algorithm: Application to Switched Reluctance Machine Noise Reduction
Stochastic Optimization - Seeing the Optimal for the Uncertain
◽
10.5772/14225
◽
2011
◽
Author(s):
Ojeda Javier
◽
Mininger Xavier
◽
Gabsi Mohamed
◽
Li Yongdong
Keyword(s):
Genetic Algorithm
◽
Optimal Design
◽
Noise Reduction
◽
Piezoelectric Actuators
◽
Switched Reluctance Machine
◽
Switched Reluctance
◽
Reluctance Machine
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Theoretical Model of the Physical System: Optimization by the Genetic Algorithm
Stochastic Optimization - Seeing the Optimal for the Uncertain
◽
10.5772/14860
◽
2011
◽
Author(s):
Stanislav Jureka
Keyword(s):
Genetic Algorithm
◽
Theoretical Model
◽
Physical System
◽
System Optimization
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Stochastic Optimization Over Correlated Data Set: A Case Study on VLSI Decoupling Capacitance Budgeting
Stochastic Optimization - Seeing the Optimal for the Uncertain
◽
10.5772/14610
◽
2011
◽
Author(s):
Yiyu Shi
◽
Jinjun Xiong
◽
Lei He
Keyword(s):
Stochastic Optimization
◽
Correlated Data
◽
Data Set
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Evaluation of Stochastic Global Optimization Methods in the Design of Complex Distillation Configurations
Stochastic Optimization - Seeing the Optimal for the Uncertain
◽
10.5772/14449
◽
2011
◽
Cited By ~ 2
Author(s):
Julin Cabrera-Ruiz
◽
Erick Yair
◽
Juan Gabriel
◽
Salvador Hernndez
◽
Adrin Bonilla-Petriciolet
Keyword(s):
Global Optimization
◽
Optimization Methods
◽
Stochastic Global Optimization
◽
Global Optimization Methods
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Global and Dynamic Optimization using the Artificial Chemical Process Paradigm and Fast Monte Carlo Methods for the Solution of Population Balance Models
Stochastic Optimization - Seeing the Optimal for the Uncertain
◽
10.5772/14951
◽
2011
◽
Author(s):
Roberto Irizarry
Keyword(s):
Monte Carlo
◽
Dynamic Optimization
◽
Monte Carlo Methods
◽
Chemical Process
◽
Population Balance
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Joint State and Parameter Estimation in Particle Filtering and Stochastic Optimization
Stochastic Optimization - Seeing the Optimal for the Uncertain
◽
10.5772/14658
◽
2011
◽
Author(s):
Xiaojun Yang
◽
Keyi Xing
Keyword(s):
Parameter Estimation
◽
Stochastic Optimization
◽
Particle Filtering
◽
Joint State
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Stochastic Optimization of Bose-Einstein Condensation Using a Genetic Algorithm
Stochastic Optimization - Seeing the Optimal for the Uncertain
◽
10.5772/15480
◽
2011
◽
Cited By ~ 3
Author(s):
W. Rohringer
◽
D. Fischer
◽
M. Trupke
◽
J. Schmiedmayer
◽
T. Schumm
Keyword(s):
Genetic Algorithm
◽
Stochastic Optimization
◽
Einstein Condensation
◽
Bose Einstein Condensation
◽
Bose Einstein
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Electromagnetic Device Optimization with Stochastic Methods
Stochastic Optimization - Seeing the Optimal for the Uncertain
◽
10.5772/16205
◽
2011
◽
Cited By ~ 1
Author(s):
P. Alotto
Keyword(s):
Stochastic Methods
◽
Device Optimization
◽
Electromagnetic Device
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Chance Constrained Programming and Its Applications to Energy Management
Stochastic Optimization - Seeing the Optimal for the Uncertain
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10.5772/15438
◽
2011
◽
Cited By ~ 4
Author(s):
Wim van
◽
Riadh Zorgati
◽
Ren Henrion
◽
Andris Mller
Keyword(s):
Energy Management
◽
Chance Constrained Programming
◽
Constrained Programming
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Understanding Protein-Ligand Interactions Using Simulated Annealing in Dimensionally Reduced Fingerprint Representation
Stochastic Optimization - Seeing the Optimal for the Uncertain
◽
10.5772/14457
◽
2011
◽
Author(s):
Ravi K.
◽
Sangtae Kim
Keyword(s):
Simulated Annealing
◽
Protein Ligand Interactions
◽
Ligand Interactions
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