config.json

{
  "restrictions": {
    "calories": [2200, 2500],
    "carbs": [280, 320],
    "protein": [70, 80],
    "fat": [75, 90],
    "products_number": [12, 15]
  },
  "restrictions_weights": {
    "calories": 0.43,
    "carbs": 3.33,
    "protein": 13.33,
    "fat": 12.12
  },
  "categories": [
    "Vegetables",
    "Meats",
    "Dairy and Egg Products",
    "Fats and Oils",
    "Grains and Pasta",
    "Fruits"
  ],
  "categories_count": [2,2,2,2,2,2],
  "aco":{
    "ants_count": 20,
    "iterations": 200,
    "pheromone_decrease_ratio": 0.80,
    "Q": 5000,
    "solutions_count": 10
  },
  "nutrition_data": "nutrition_data/complete_database.csv",
  "mass_range": [5, 2000],
  "initial_solutions_number": 1000,
  "iterative_improvement_config": {
    "restrictions": {
      "calories": [
        2200,
        2500
      ],
      "carbs": [
        280,
        320
      ],
      "protein": [
        70,
        80
      ],
      "fat": [
        75,
        90
      ]
    },
    "restrictions_weights": {
      "calories": 1.0,
      "carbs": 1.0,
      "protein": 1.0,
      "fat": 1.0
    },
    "max_steps": 700,
    "step_rate": 9.0
  },
  "selection_method": "ranking",
  "selection_params": {
    "k": 200
  },
  "unary_op_params": {
    "to_mutate": 2,
    "std": 5.0
  },
  "binary_op_params": {
    "cross_points_number": 4,
    "preserve_types": true
  },
  "scoring_params": {
    "alpha": 1.0
  },
  "epoch_count": 10,
  "numpy_random_state": 42,
  "aco_total_product_count": 200,
  "product_copies": 40
}