最新的元启发式优化算法有哪些

最新的元启发式优化算法包括：

1. Metaheuristic Optimization via Density Estimation (MODE)

2. Multi-objective Particle Swarm Optimization with Crowding Distance and Adaptive Mutation

3. Multi-objective Cuckoo Search Algorithm with Novel Selection Operator

4. Hybrid Genetic Algorithm and Particle Swarm Optimization with Local Search for Solving Constrained Optimization Problems

5. Differential Evolution with Neighborhood Search for Multi-objective Optimization

6. Newton's Method with Modified Particle Swarm Optimization for Solving Nonlinear Equations

7. Multi-objective Bat Algorithm with Adaptive Operator Selection and Local Search

8. Multi-objective Grey Wolf Optimizer with Adaptive Parameter Control and Crowding Distance

9. Multi-objective Harmony Search Algorithm with Diversity Preservation and Hybridization

10. Multi-objective Artificial Bee Colony Algorithm with Enhanced Exploration and Exploitation Strategies.