A Surrogate-Based Optimization Method with Dynamic Adaptation for High-Dimensional Mixed-Integer Problems

Keyphrases

• Optimization Methods 100%
• Black Box 100%
• Local Search 100%
• Scoring Criteria 100%
• Mixed Integer Problem 100%
• Mixed-integer Optimization Problems 100%
• Dynamic Adaptation 100%
• Surrogate-based Optimization 100%
• Computational Resources 50%
• Numerical Experiments 50%
• Global Search 50%
• Optimization Algorithm 50%
• Scaling Method 50%
• Nonlinear Objective Function 50%
• Benchmark Problems 50%
• Real-world Engineering Problems 50%
• Dynamic Coordinate Search 50%
• High-dimensional Problems 50%
• Infill Strategy 50%
• Adaptive Scaling 50%
• Weighted Scoring 50%
• Nonconvex Objective Function 50%

Engineering

• Optimization Method 100%
• Objective Function 100%
• Optimisation Problem 66%
• Local Search 66%
• Black Box 66%
• Engineering Problem 33%
• Numerical Experiment 33%
• Dimensional Problem 33%
• Benchmark Problem 33%

Mathematics

• Integer 100%
• Objective Function 100%
• Local Search 66%
• Black Box 66%
• Dimensional Problem 33%
• Numerical Experiment 33%
• Test Problem 33%
• Candidate Point 33%
• Engineering Problem 33%