genetic_algorithm_optimization

Optimize spacecraft trajectories using genetic algorithms to solve aerospace engineering problems with defined objectives and constraints.

Instructions

Optimize spacecraft trajectory using genetic algorithm.

Args: optimization_problem: Problem definition (objective, constraints, variables) ga_parameters: Optional GA parameters (population_size, generations, etc.)

Returns: JSON string with optimization results

Input Schema

TableJSON Schema

Name	Required	Description	Default
`optimization_problem`	Yes
`ga_parameters`	No

Implementation Reference

aerospace_mcp/tools/optimization.py:103-128 (handler)

The handler function for the 'genetic_algorithm_optimization' MCP tool. It accepts an optimization problem definition and optional GA parameters, attempts to delegate to an external trajopt integration for the actual computation, and returns JSON-formatted results or error messages if unavailable or failed.

def genetic_algorithm_optimization(
    optimization_problem: dict, ga_parameters: dict | None = None
) -> str:
    """Optimize spacecraft trajectory using genetic algorithm.

    Args:
        optimization_problem: Problem definition (objective, constraints, variables)
        ga_parameters: Optional GA parameters (population_size, generations, etc.)

    Returns:
        JSON string with optimization results
    """
    try:
        from ..integrations.trajopt import (
            genetic_algorithm_optimization as _ga_optimize,
        )

        result = _ga_optimize(optimization_problem, ga_parameters or {})

        return json.dumps(result, indent=2)

    except ImportError:
        return "Genetic algorithm optimization not available - install optimization packages"
    except Exception as e:
        logger.error(f"GA optimization error: {str(e)}", exc_info=True)
        return f"GA optimization error: {str(e)}"

aerospace_mcp/fastmcp_server.py:126-126 (registration)
Registers the genetic_algorithm_optimization tool with the FastMCP server using the mcp.tool decorator/function.
```
mcp.tool(genetic_algorithm_optimization)
```

aerospace_mcp/fastmcp_server.py:48-55 (registration)

Imports the genetic_algorithm_optimization handler from the optimization tools module for use in the FastMCP server.

from .tools.optimization import (
    genetic_algorithm_optimization,
    monte_carlo_uncertainty_analysis,
    optimize_thrust_profile,
    particle_swarm_optimization,
    porkchop_plot_analysis,
    trajectory_sensitivity_analysis,
)

Aerospace MCP