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>

tests/test_phase_2_5_intelligent_gap_detection.py

@@ -24,10 +24,10 @@ if sys.platform == 'win32':
 project_root = Path(__file__).parent.parent
 sys.path.insert(0, str(project_root))
 
-from optimization_engine.codebase_analyzer import CodebaseCapabilityAnalyzer
-from optimization_engine.workflow_decomposer import WorkflowDecomposer
-from optimization_engine.capability_matcher import CapabilityMatcher
-from optimization_engine.targeted_research_planner import TargetedResearchPlanner
+from optimization_engine.utils.codebase_analyzer import CodebaseCapabilityAnalyzer
+from optimization_engine.future.workflow_decomposer import WorkflowDecomposer
+from optimization_engine.config.capability_matcher import CapabilityMatcher
+from optimization_engine.future.targeted_research_planner import TargetedResearchPlanner
 
 
 def print_header(text: str, char: str = "="):