refactor: Major reorganization of optimization_engine module structure

BREAKING CHANGE: Module paths have been reorganized for better maintainability.
Backwards compatibility aliases with deprecation warnings are provided.

New Structure:
- core/           - Optimization runners (runner, intelligent_optimizer, etc.)
- processors/     - Data processing
  - surrogates/   - Neural network surrogates
- nx/             - NX/Nastran integration (solver, updater, session_manager)
- study/          - Study management (creator, wizard, state, reset)
- reporting/      - Reports and analysis (visualizer, report_generator)
- config/         - Configuration management (manager, builder)
- utils/          - Utilities (logger, auto_doc, etc.)
- future/         - Research/experimental code

Migration:
- ~200 import changes across 125 files
- All __init__.py files use lazy loading to avoid circular imports
- Backwards compatibility layer supports old import paths with warnings
- All existing functionality preserved

To migrate existing code:
  OLD: from optimization_engine.nx_solver import NXSolver
  NEW: from optimization_engine.nx.solver import NXSolver

  OLD: from optimization_engine.runner import OptimizationRunner
  NEW: from optimization_engine.core.runner import OptimizationRunner

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

optimization_engine/processors/__init__.py

@@ -0,0 +1,25 @@
+"""
+Optimization Processors
+=======================
+
+Data processing algorithms and ML models.
+
+Submodules:
+- surrogates/: Neural network surrogate models
+- dynamic_response/: Dynamic response processing (random vib, sine sweep)
+"""
+
+# Lazy import for surrogates to avoid import errors
+def __getattr__(name):
+    if name == 'surrogates':
+        from . import surrogates
+        return surrogates
+    elif name == 'AdaptiveCharacterization':
+        from .adaptive_characterization import AdaptiveCharacterization
+        return AdaptiveCharacterization
+    raise AttributeError(f"module 'optimization_engine.processors' has no attribute '{name}'")
+
+__all__ = [
+    'surrogates',
+    'AdaptiveCharacterization',
+]