Nonconvex Optimization and Its Applications - Bayesian Heuristic Approach to Discrete and Global Optimization
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Published By Springer US

9781441947673, 9781475726275
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Bayesian Approach to Continuous Global and Stochastic Optimization

1997 ◽  
pp. 63-69
Author(s):  
Jonas Mockus ◽  
William Eddy ◽  
Audris Mockus ◽  
Linas Mockus ◽  
Gintaras Reklaitis
Keyword(s):  
Stochastic Optimization ◽  
Bayesian Approach

Software for Continuous Global Optimization Using Unix C++

1997 ◽  
pp. 327-336
Author(s):  
Jonas Mockus ◽  
William Eddy ◽  
Audris Mockus ◽  
Linas Mockus ◽  
Gintaras Reklaitis
Keyword(s):  
Global Optimization ◽  
Continuous Global Optimization

Optimization in Neural Networks

1997 ◽  
pp. 153-174
Author(s):  
Jonas Mockus ◽  
William Eddy ◽  
Audris Mockus ◽  
Linas Mockus ◽  
Gintaras Reklaitis
Keyword(s):  
Neural Networks

Information-Based Complexity (IBC) and the Bayesian Heuristic Approach

1997 ◽  
pp. 31-46
Author(s):  
Jonas Mockus ◽  
William Eddy ◽  
Audris Mockus ◽  
Linas Mockus ◽  
Gintaras Reklaitis
Keyword(s):  
Heuristic Approach

Introduction to Global Optimization Software (GM)

1997 ◽  
pp. 277-282
Author(s):  
Jonas Mockus ◽  
William Eddy ◽  
Audris Mockus ◽  
Linas Mockus ◽  
Gintaras Reklaitis
Keyword(s):  
Global Optimization ◽  
Optimization Software

Batch Process Scheduling Using Simulated Annealing

1997 ◽  
pp. 245-259
Author(s):  
Jonas Mockus ◽  
William Eddy ◽  
Audris Mockus ◽  
Linas Mockus ◽  
Gintaras Reklaitis
Keyword(s):  
Simulated Annealing ◽  
Batch Process ◽  
Process Scheduling

Bayesian Approach to Discrete Optimization

1997 ◽  
pp. 177-194 ◽  
Author(s):  
Jonas Mockus ◽  
William Eddy ◽  
Audris Mockus ◽  
Linas Mockus ◽  
Gintaras Reklaitis
Keyword(s):  
Bayesian Approach ◽  
Discrete Optimization
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