Optimization (:py:mod:`evopt.optimizer`)
========================================

The optimizer module provides a simplified interface to the black-box optimization framework,
abstracting away the details of specific optimization algorithms and offering a convenient
function-based API for running optimization tasks with minimal setup.

Functions
---------

.. currentmodule:: evopt.optimizer

.. autofunction:: optimize

   Core Functionality
   ~~~~~~~~~~~~~~~~~~

   This function is the primary entry point for optimization tasks. It supports:

   - Parameter space definition with min/max bounds
   - Various optimization algorithms (currently CMA-ES)
   - Parallel evaluation of solutions
   - Multi-objective optimization with target dictionaries
   - Checkpointing and resumability
   - HPC integration with SLURM, PBS, and LSF

   HPC Options
   ~~~~~~~~~~~

   The function offers several parameters for HPC environment configuration:

   - ``hpc_cores_per_worker``: CPU cores per worker
   - ``hpc_memory_gb_per_worker``: Memory allocation in GB
   - ``hpc_wall_time``: Maximum job runtime
   - ``hpc_qos``: Quality of Service specification