quantaoptima_optimize
Solve black-box optimization with quantum-inspired selection and receive best solution, fitness metrics, and tamper-evident audit logs for each step.
Instructions
Run quantum-inspired optimization using the Measurement-Collapse Pruner.
Uses interference-enhanced selection to solve black-box optimization problems with built-in cryptographic auditing and interpretability telemetry.
Every optimization step is automatically logged to the audit chain.
FREE tier: sphere, rastrigin, rosenbrock | 10 dims | 100 iters PRO tier: all 6 objectives | 100 dims | 5000 iters
Args: objective: Built-in function name (sphere, rastrigin, rosenbrock, ackley, griewank, levy). The optimizer MAXIMIZES, so built-ins are negated. dimensions: Number of variables (2-100). bounds_low: Lower bound for all variables. bounds_high: Upper bound for all variables. max_iterations: Maximum iterations (10-5000). population_size: Candidate solutions per iteration (10-200). temperature: Boltzmann temperature. Higher = more exploration. seed: Random seed for reproducibility.
Returns: JSON with best_solution, best_fitness, quantum_metrics, and audit status.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| seed | No | ||
| objective | No | sphere | |
| bounds_low | No | ||
| dimensions | No | ||
| bounds_high | No | ||
| temperature | No | ||
| max_iterations | No | ||
| population_size | No |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |