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main.py
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213 lines (182 loc) · 8.59 KB
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"""
Main Execution Script
---------------------------------------
Demonstrates the Genetic Algorithm with:
- Configuration file support
- Command-line interface
- Adaptive mutation rate
- Early stopping
- Enhanced logging with statistics
"""
import argparse
import random
import os
from city import City
from genetic_algorithm import geneticAlgorithm
from visualization import plot_progress, plot_route, plot_combined
from utils import load_config, save_results, save_route
def create_random_cities(num_cities=40, max_coord=100, seed=None):
"""
Creates a list of cities with random coordinates.
:param num_cities: Number of cities to generate.
:param max_coord: Maximum coordinate value.
:param seed: Random seed for reproducibility (None for random).
:return: List of City objects.
"""
if seed is not None:
random.seed(seed)
cityList = []
for i in range(num_cities):
cityList.append(City(x=int(random.random() * max_coord),
y=int(random.random() * max_coord)))
return cityList
def main():
"""
Main function with CLI support and configuration file loading.
"""
# Parse command-line arguments
parser = argparse.ArgumentParser(
description='Genetic Algorithm for TSP with parallel fitness evaluation'
)
parser.add_argument('--config', type=str, default='config.yaml',
help='Path to configuration file (default: config.yaml)')
parser.add_argument('--cities', type=int, help='Number of cities (overrides config)')
parser.add_argument('--generations', type=int, help='Number of generations (overrides config)')
parser.add_argument('--population', type=int, help='Population size (overrides config)')
parser.add_argument('--no-parallel', action='store_true',
help='Disable parallel processing')
parser.add_argument('--no-adaptive', action='store_true',
help='Disable adaptive mutation rate')
parser.add_argument('--no-early-stop', action='store_true',
help='Disable early stopping')
parser.add_argument('--seed', type=int, help='Random seed (overrides config)')
args = parser.parse_args()
# Load configuration
try:
config = load_config(args.config)
print(f"Loaded configuration from {args.config}")
except FileNotFoundError:
print(f"Configuration file {args.config} not found. Using defaults.")
config = {
'problem': {'num_cities': 40, 'max_coordinate': 100, 'random_seed': 42},
'algorithm': {
'population_size': 250, 'elite_size': 20, 'generations': 500,
'mutation_rate_initial': 0.02, 'mutation_rate_final': 0.005,
'mutation_decay': 'linear', 'early_stopping_enabled': True,
'patience': 50, 'min_improvement': 0.01
},
'performance': {'use_parallel': True, 'num_processes': None},
'logging': {'verbose': True, 'log_interval': 50, 'detailed_stats': True},
'visualization': {'save_plots': True, 'output_dir': 'results', 'show_plots': False},
'output': {'save_results': True, 'results_file': 'results/ga_results.json',
'save_best_route': True, 'route_file': 'results/best_route.json'}
}
# Override config with command-line arguments
if args.cities:
config['problem']['num_cities'] = args.cities
if args.generations:
config['algorithm']['generations'] = args.generations
if args.population:
config['algorithm']['population_size'] = args.population
if args.no_parallel:
config['performance']['use_parallel'] = False
if args.seed is not None:
config['problem']['random_seed'] = args.seed
# Extract configuration
num_cities = config['problem']['num_cities']
max_coord = config['problem']['max_coordinate']
seed = config['problem']['random_seed']
population_size = config['algorithm']['population_size']
elite_size = config['algorithm']['elite_size']
generations = config['algorithm']['generations']
mutation_rate_initial = config['algorithm']['mutation_rate_initial']
mutation_rate_final = config['algorithm']['mutation_rate_final']
mutation_decay = config['algorithm']['mutation_decay']
use_parallel = config['performance']['use_parallel']
verbose = config['logging']['verbose']
log_interval = config['logging']['log_interval']
detailed_stats = config['logging']['detailed_stats']
early_stopping = config['algorithm']['early_stopping_enabled'] and not args.no_early_stop
patience = config['algorithm']['patience']
min_improvement = config['algorithm']['min_improvement']
adaptive_mutation = not args.no_adaptive
# Print header
print("=" * 70)
print("Enhanced Genetic Algorithm for TSP")
print("=" * 70)
print("\nFeatures:")
print("- Heuristic, population-based approach")
print("- Parallel fitness evaluation across CPU cores" if use_parallel else "- Sequential fitness evaluation")
print("- Adaptive mutation rate" if adaptive_mutation else "- Fixed mutation rate")
print("- Early stopping" if early_stopping else "- Fixed generations")
print("- Enhanced logging with statistics" if detailed_stats else "- Basic logging")
print("\n" + "=" * 70 + "\n")
# Create problem instance
print(f"Creating TSP problem with {num_cities} random cities...")
cityList = create_random_cities(num_cities=num_cities, max_coord=max_coord, seed=seed)
print(f"Cities created: {len(cityList)}")
print(f"Sample cities: {cityList[:3]}")
# Display parameters
print(f"\nAlgorithm Parameters:")
print(f" Population Size: {population_size}")
print(f" Elite Size: {elite_size}")
print(f" Generations: {generations}")
if adaptive_mutation:
print(f" Mutation Rate: {mutation_rate_initial:.4f} → {mutation_rate_final:.4f} ({mutation_decay})")
else:
print(f" Mutation Rate: {mutation_rate_initial:.4f} (fixed)")
if early_stopping:
print(f" Early Stopping: patience={patience}, min_improvement={min_improvement}%")
print("\n" + "=" * 70 + "\n")
# Run genetic algorithm
print("Running Enhanced Genetic Algorithm...\n")
bestRoute, progress, results = geneticAlgorithm(
cityList=cityList,
populationSize=population_size,
eliteSize=elite_size,
mutationRate=mutation_rate_initial, # Used only if adaptive_mutation=False
generations=generations,
use_parallel=use_parallel,
verbose=verbose,
detailed_stats=detailed_stats,
log_interval=log_interval,
adaptive_mutation=adaptive_mutation,
mutation_rate_initial=mutation_rate_initial,
mutation_rate_final=mutation_rate_final,
mutation_decay=mutation_decay,
early_stopping=early_stopping,
patience=patience,
min_improvement=min_improvement
)
# Save results if configured
if config['output']['save_results']:
save_results(results, config['output']['results_file'])
if config['output']['save_best_route']:
save_route(bestRoute, config['output']['route_file'])
# Generate visualizations
if config['visualization']['save_plots']:
output_dir = config['visualization']['output_dir']
os.makedirs(output_dir, exist_ok=True)
print("\nGenerating visualizations...")
# Combined plot
combined_path = os.path.join(output_dir, f"results_combined.{config['visualization']['plot_format']}")
plot_combined(bestRoute, progress, save_path=combined_path)
# Individual plots
progress_path = os.path.join(output_dir, f"progress.{config['visualization']['plot_format']}")
plot_progress(progress, save_path=progress_path)
route_path = os.path.join(output_dir, f"best_route.{config['visualization']['plot_format']}")
plot_route(bestRoute, title=f"Best Route (Distance: {results['final_distance']:.2f})",
save_path=route_path)
print("Visualization complete!")
if config['visualization']['show_plots']:
print("\nDisplaying plots...")
plot_combined(bestRoute, progress)
print("\n" + "=" * 70)
print("Execution Complete!")
print("=" * 70)
print(f"\nTo run with different parameters:")
print(f" python {__file__} --cities 50 --generations 1000")
print(f" python {__file__} --config my_config.yaml")
print(f" python {__file__} --no-parallel --no-adaptive")
if __name__ == "__main__":
main()