Enhancing a simulation-based Allocator Software with machine learning and genetic algorithms for improving the gate assignment problem

Keyphrases

• Simulation-based 100%
• Machine Learning Algorithms 100%
• Genetic Algorithm 100%
• Allocator 100%
• Gate Assignment 100%
• Airport 33%
• Zurich 33%
• Robust Solution 33%
• Optimization Algorithm 33%
• International Airport 33%
• Machine Learning Techniques 33%
• Stand Allocation 33%
• Gate Allocation 33%
• Random Forest Regressor 33%
• Grid Optimization Algorithm 33%
• Temporal Constraints 33%
• Initial Allocation 33%
• Physical Constraints 33%
• Early Arrival 33%
• Operational Constraints 33%
• Weather Data 33%

Computer Science

• Machine Learning Algorithm 100%
• Allocator 100%
• Assignment Problem 100%
• Genetic Algorithm 100%
• Optimization Algorithm 66%
• Random Decision Forest 33%
• Machine Learning Technique 33%
• And Gate 33%
• Robust Solution 33%
• Physical Constraint 33%
• Temporal Constraint 33%

Engineering

• Genetic Algorithm 100%
• Learning System 100%
• Applicability 50%
• Random Forest 50%
• Physical Constraint 50%
• Regressors 50%
• Temporal Constraint 50%
• Robust Solution 50%
• Machine Learning Technique 50%