Theory of Global Random Search

Inhaltsverzeichnis

• 1 Global Optimization: An Overview.
• 1. Global Optimization Theory: General Concepts.
• 2. Global Optimization Methods.
• 2. Global Random Search.
• 3. Main Concepts and Approaches of Global Random Search.
• 4. Statistical Inference in Global Random Search.
• 5. Methods of Generations.
• 6. Random Search Algorithms for Solving Specific Problems.
• 3. Auxiliary Results.
• 7. Statistical Inference for the Bounds of Random Variables.
• 8. Several Problems Connected with Global Random Search.
• References.