NeuroLag

[1.7.0] — 2026-05-01 — Major Architecture & Algorithm Improvements

🚀 Major Features

• Safe Mode for Critical State

  • Added safe-mode configuration option under critical TPS tier
  • Implemented SafeModeOptimizer to selectively disable dangerous AI components while preserving essential game mechanics
  • Prevents over-optimization that breaks villager trading, mob escaping water, and other critical behaviors

• LagEngine Refactoring

  • Extracted optimization logic into dedicated classes following Single Responsibility Principle:
    • MobCuller - Entity culling with intelligent importance scoring
    • AIThrottler - AI throttling and tick management
    • SpawnSuppressor - Spawn rate adjustment logic
  • Improved code maintainability and testability

• Event-Driven Architecture

  • Implemented EventBus pattern for decoupled optimization logic:
    • OptimizationEventBus - Central event dispatcher
    • OptimizationEvent - Event data container
    • OptimizationListener - Interface for event handlers
    • Enables plugins/addons to react to optimization state changes

• Mob Importance Scoring System

  • Created MobImportanceScorer with comprehensive importance evaluation:
    • Base scores for all entity types (bosses: 1000, villagers: 100, hostile: 10-20, etc.)
    • Dynamic scoring factors: named mobs (10x), tamed mobs (20x), equipment (1.5x)
    • Integration with MobCuller for intelligent culling decisions

• Mob Behavior Groups

  • Implemented MobBehaviorGroups system for targeted optimization:
    • PASSIVE (low priority): Cows, pigs, sheep, chickens
    • AGGRESSIVE (high priority): Zombies, skeletons, creepers
    • NEUTRAL (medium priority): Endermen, iron golems
    • SPECIAL (preserve): Villagers, bosses, named mobs
    • AQUATIC (water-based): Dolphins, guardians, squids

🧠 Algorithm Improvements

• RegionOptimizer Enhancements

  • Dynamic Region Sizing: Automatically adjusts region size based on player count
    • 0-5 players: 16 chunks (large regions)
    • 6-20 players: 8 chunks (medium regions)
    • 21-50 players: 4 chunks (small regions)
    • 50+ players: 2 chunks (very small regions)
  • Hot Region Decay: Regions gradually cool down when players leave
    • Heat decays at 5% per second when no players present
    • Prevents regions from staying hot indefinitely

• PredictiveScheduler Algorithms

  • EWMA (Exponentially Weighted Moving Average): Better short-term TPS prediction
    • Alpha smoothing factor of 0.3 for optimal responsiveness
    • Linear Regression: Trend analysis for TPS decline detection
    • Combines simple average, EWMA, and trend for robust prediction
    • More accurate lag prevention than simple hourly averages

🛠️ Configuration Management

• Annotation-Based Validation

  • @ConfigValidation annotation for field-level validation rules
  • ConfigValidator class with automatic validation on reload
  • Validates numeric ranges, required fields, and boundary warnings
  • Provides clear error messages and validation reports

• Config Migration System

  • Automatic version checking and stepwise migrations
  • Backup creation before migration with rollback capability
  • Supports migration of config.yml, features.yml, monitors.yml, systems.yml
  • Preserves user settings while updating structure

📚 Documentation

• Comprehensive Config Guide

  • CONFIG-GUIDE.md with detailed explanations for all settings
  • Usage examples, recommended values, and troubleshooting tips
  • Clear organization by functional areas

• Enhanced Config Comments

  • Added detailed explanations to all YAML configuration files
  • Section headers and inline comments for better understanding
  • Security notes and setup instructions where applicable

🔧 Code Quality Improvements

• Single Responsibility Principle

  • Each class has a single, well-defined responsibility
  • Reduced coupling between components
  • Improved testability and maintainability

• Modern Java Practices

  • Updated deprecated Bukkit method usage
  • Proper exception handling and logging
  • Thread-safe data structures where appropriate

🎯 Performance Optimizations

• Intelligent Culling

  • Prioritizes removing low-importance mobs first
  • Preserves named, tamed, and special mobs
  • Reduces impact on gameplay while maintaining server performance

• Targeted Optimization

  • Behavior-based optimization strategies
  • Different approaches for different mob types
  • More efficient than one-size-fits-all approach

🔄 Backward Compatibility

• Seamless Migration
  • Automatic config updates preserve existing functionality
  • Graceful handling of missing or corrupt configuration files
  • No breaking changes to existing setups

🐛 Bug Fixes

• Fixed Memory Leaks

  • Proper cleanup of event listeners and cached data
  • Thread-safe collections with proper synchronization

• Improved Error Handling

  • Better exception messages and logging
  • Graceful degradation when components fail
  • Validation prevents invalid configurations