How to Use the Metropolis Algorithm for Multi-Objective Optimization?
Weijie ZhengMingfeng LiRenzhong DengBenjamin DoerrPublished in: AAAI (2024)
Keyphrases
- multi objective optimization
- np hard
- dynamic programming
- optimal solution
- cost function
- learning algorithm
- evolutionary algorithm
- multi objective
- objective function
- simulated annealing
- genetic algorithm
- bi objective
- routing problem
- test problems
- feasible solution
- branch and bound
- computational efficiency
- particle swarm optimization
- linear programming
- worst case
- upper bound
- search space