A framework for locally convergent random-search algorithms for discrete optimization via simulation

Computer Science

• Discrete Optimization 100%
• Searching Algorithm 100%
• Optimization Problem 50%
• Stochastic Optimization 50%
• Algorithm Designer 50%
• Stochastic Simulation 50%
• Objective Function 50%
• Decision Variable 50%
• Statistical Procedure 50%
• Mild Condition 50%

Keyphrases

• Discrete Optimization via Simulation 100%
• Random Search Algorithm 100%
• Stochastic Optimization Problem 50%
• Asymptotic Properties 50%
• Decision Variables 50%
• Stochastic Simulation 50%
• Convergence Rate 50%
• Statistical Procedures 50%
• Search Scheme 50%
• Almost Sure Convergence 50%

Mathematics

• Random Search 100%
• Stochastics 100%
• Search Algorithm 100%
• Objective Function 50%
• Integer 50%
• Asymptotic Property 50%
• Almost Sure Convergence 50%
• Statistical Procedure 50%
• Decision Variable 50%