Multiple objective metaheuristics for feature selection based on stakeholder requirements in credit scoring

Keyphrases

• Feature Selection 100%
• Stakeholder Requirements 100%
• Credit Scoring 100%
• Computation Time 40%
• Feature Selection Methods 40%
• Scoring Process 40%
• Hybrid Metaheuristic 40%
• Credit Risk Assessment 40%
• Spatial Data 20%
• Selection Strategy 20%
• Genetic Algorithm 20%
• Performance Improvement 20%
• Population Size 20%
• Existing Algorithms 20%
• Two-hybrid 20%
• Mutation Strategy 20%
• Satellite Data 20%
• Crossover Method 20%
• Objective Features 20%
• Non-dominated Sorting Genetic Algorithm (NSGA-II) 20%
• Non-dominated Sorting 20%
• Many-objective 20%
• Binary Grasshopper Optimization Algorithm 20%

Computer Science

• Feature Selection 100%
• Metaheuristics 100%
• Stakeholder Requirement 100%
• Feature Extraction 100%
• Computational Time 40%
• Selection Process 40%
• Genetic Algorithm 40%
• Objective Function 20%
• Data Source 20%
• Optimization Algorithm 20%
• Objective Feature 20%