particle_swarm_optimization
Optimize spacecraft trajectories by solving complex aerospace engineering problems with particle swarm optimization algorithms.
Instructions
Optimize spacecraft trajectory using particle swarm optimization.
Args: optimization_problem: Problem definition (objective, constraints, variables) pso_parameters: Optional PSO parameters (n_particles, iterations, etc.)
Returns: JSON string with optimization results
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| optimization_problem | Yes | ||
| pso_parameters | No |
Output Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Implementation Reference
- Handler function that implements the MCP tool logic for particle_swarm_optimization. It delegates to an external trajopt implementation (which appears to be missing) or returns an error message with JSON formatting.
def particle_swarm_optimization( optimization_problem: dict, pso_parameters: dict | None = None ) -> str: """Optimize spacecraft trajectory using particle swarm optimization. Args: optimization_problem: Problem definition (objective, constraints, variables) pso_parameters: Optional PSO parameters (n_particles, iterations, etc.) Returns: JSON string with optimization results """ try: from ..integrations.trajopt import particle_swarm_optimization as _pso_optimize result = _pso_optimize(optimization_problem, pso_parameters or {}) return json.dumps(result, indent=2) except ImportError: return ( "Particle swarm optimization not available - install optimization packages" ) except Exception as e: logger.error(f"PSO optimization error: {str(e)}", exc_info=True) return f"PSO optimization error: {str(e)}" - aerospace_mcp/fastmcp_server.py:127-127 (registration)Registers the particle_swarm_optimization function as an MCP tool in the FastMCP server.
mcp.tool(particle_swarm_optimization) - aerospace_mcp/fastmcp_server.py:48-55 (registration)Imports the particle_swarm_optimization tool from the optimization module for registration.
from .tools.optimization import ( genetic_algorithm_optimization, monte_carlo_uncertainty_analysis, optimize_thrust_profile, particle_swarm_optimization, porkchop_plot_analysis, trajectory_sensitivity_analysis, )