Optimization Objectives¶

Flio.ai API offers various optimization objectives suitable for different business needs. Each objective focuses on finding the best solution according to different criteria.

🎯 Available Optimization Objectives¶

Default Objective ¶

System default optimization - Balanced approach - General performance optimization

Distance Objective ¶

Minimize total distance - Reduces fuel consumption - Minimizes vehicle wear - Provides environmentally friendly solutions

Duration Objective ¶

Minimize total time - Provides fast delivery - Reduces labor costs - Increases customer satisfaction

Cost Objective ¶

Minimize total cost - Balances distance, time and fixed costs - Maximizes ROI - Comprehensive cost optimization

⚙️ Objective Selection¶

You can specify the optimization objective using the options.objective parameter:

{
  "options": {
    "problem": "CVRP",
    "objective": "distance",
    "solver": "heuristic"
  }
}

📊 Objective Comparison¶

Objective	Focus	Use Case	Benefits
Default	Balanced	General use	Multi-purpose optimization
Distance	Distance	Logistics, courier	Fuel savings, eco-friendly
Duration	Time	Emergency delivery, service	Fast service, high efficiency
Cost	Cost	Budget-focused	Comprehensive cost control

💡 Which Objective Should I Choose?¶

Choose Distance if:¶

Fuel costs are high
Environmental impact is important
Vehicle count is limited

Choose Duration if:¶

Fast delivery is critical
Labor costs are high
Customer satisfaction is priority

Choose Cost if:¶

You want comprehensive cost analysis
You want to balance different cost factors
You're targeting ROI maximization

🔧 Advanced Usage¶

You can test different objectives for different scenarios:

{
  "vehicles": [...],
  "jobs": [...],
  "options": {
    "problem": "VRPTW",
    "objective": "cost",
    "solver": "mathematical",
    "timeout": 300
  }
}

Analyze your scenario and test different options for the most suitable objective selection.