多目标优化算法matlab

Multi-objective optimization algorithms in MATLAB include:

1. Multiobjective Genetic Algorithm (MOGA)

2. Multiobjective Particle Swarm Optimization (MOPSO)

3. Non-dominated Sorting Genetic Algorithm II (NSGA-II)

4. Strength Pareto Evolutionary Algorithm (SPEA)

5. Pareto Archived Evolution Strategy (PAES)

6. Multiobjective Ant Colony Optimization (MOACO)

7. Multiobjective Simulated Annealing (MOSA)

8. Multiobjective Differential Evolution (MODE)

9. Multiobjective Artificial Bee Colony (MOABC)

10. Multiobjective Firefly Algorithm (MOFA)

Each of these algorithms has its own strengths and weaknesses, and the choice of which algorithm to use depends on the specific optimization problem being tackled.