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Table of Contents
Intro; Acknowledgments; Contents; 1 Introduction; 1.1 Introduction; 1.2 Problem Domain; 1.3 The GLOBAL Algorithm; 2 Local Search; 2.1 Introduction; 2.2 Local Search Algorithms; 2.2.1 Derivative-Free Local Search; 2.2.2 The Basic UNIRANDI Method; 2.2.3 The New UNIRANDI Algorithm; 2.2.4 Reference Algorithms; 2.3 Computational Investigations; 2.3.1 Experimental Settings; 2.3.2 Comparison of the Two UNIRANDI Versions; 2.3.3 Comparison with Other Algorithms; 2.3.4 Error Analysis; 2.3.5 Performance Profiles; 2.4 Conclusions; 3 The GLOBALJ Framework; 3.1 Introduction
3.2 Switching from MATLAB to JAVA3.3 Modularization; 3.4 Algorithmic Improvements; 3.5 Results; 3.6 Conclusions; 4 Parallelization; 4.1 Introduction; 4.2 Parallel Techniques; 4.2.1 Principles of Parallel Computation; 4.3 Design of PGLOBAL Based on GLOBAL; 4.4 Implementation of the PGlobal Algorithm; 4.4.1 SerializedGlobal; 4.4.2 SerializedClusterizer; 4.5 Parallelized Local Search; 4.6 Losses Caused by Parallelization; 4.7 Algorithm Parameters; 4.8 Results; 4.8.1 Environment; 4.8.2 SerializedGlobal Parallelization Test; 4.8.3 SerializedGlobalSingleLinkageClusterizer Parallelization Test
4.8.4 Comparison of Global and PGlobal Implementations4.9 Conclusions; 5 Example; 5.1 Environment; 5.2 Objective Function; 5.3 Optimizer Setup; 5.4 Run the Optimizer; 5.5 Constraints; 5.6 Custom Module Implementation; Appendix A User's Guide; A.1 Global Module; A.1.1 Parameters; A.2 SerializedGlobal Module; A.2.1 Parameters; A.3 GlobalSingleLinkageClusterizer Module; A.3.1 Parameters; A.4 SerializedGlobalSingleLinkageClusterizer Module; A.4.1 Parameters; A.5 UNIRANDI Module; A.5.1 Parameters; A.6 NUnirandi Module; A.6.1 Parameters; A.7 UnirandiCLS Module; A.7.1 Parameters
A.8 NUnirandiCLS ModuleA.8.1 Parameters; A.9 Rosenbrock Module; A.9.1 Parameters; A.10 LineSearchImpl Module; Appendix B Test Functions; Appendix C DiscreteClimber Code; References
3.2 Switching from MATLAB to JAVA3.3 Modularization; 3.4 Algorithmic Improvements; 3.5 Results; 3.6 Conclusions; 4 Parallelization; 4.1 Introduction; 4.2 Parallel Techniques; 4.2.1 Principles of Parallel Computation; 4.3 Design of PGLOBAL Based on GLOBAL; 4.4 Implementation of the PGlobal Algorithm; 4.4.1 SerializedGlobal; 4.4.2 SerializedClusterizer; 4.5 Parallelized Local Search; 4.6 Losses Caused by Parallelization; 4.7 Algorithm Parameters; 4.8 Results; 4.8.1 Environment; 4.8.2 SerializedGlobal Parallelization Test; 4.8.3 SerializedGlobalSingleLinkageClusterizer Parallelization Test
4.8.4 Comparison of Global and PGlobal Implementations4.9 Conclusions; 5 Example; 5.1 Environment; 5.2 Objective Function; 5.3 Optimizer Setup; 5.4 Run the Optimizer; 5.5 Constraints; 5.6 Custom Module Implementation; Appendix A User's Guide; A.1 Global Module; A.1.1 Parameters; A.2 SerializedGlobal Module; A.2.1 Parameters; A.3 GlobalSingleLinkageClusterizer Module; A.3.1 Parameters; A.4 SerializedGlobalSingleLinkageClusterizer Module; A.4.1 Parameters; A.5 UNIRANDI Module; A.5.1 Parameters; A.6 NUnirandi Module; A.6.1 Parameters; A.7 UnirandiCLS Module; A.7.1 Parameters
A.8 NUnirandiCLS ModuleA.8.1 Parameters; A.9 Rosenbrock Module; A.9.1 Parameters; A.10 LineSearchImpl Module; Appendix B Test Functions; Appendix C DiscreteClimber Code; References