How to Use the Metropolis Algorithm for Multi-Objective Optimization?
Weijie ZhengMingfeng LiRenzhong DengBenjamin DoerrPublished in: GECCO Companion (2024)
Keyphrases
- multi objective optimization
- optimization algorithm
- multi objective
- learning algorithm
- evolutionary algorithm
- solving multi objective optimization problems
- multi objective optimization problems
- simulated annealing
- linear programming
- k means
- cost function
- np hard
- dynamic programming
- shortest path problem
- objective function
- neural network
- genetic programming
- search algorithm
- computational efficiency
- benchmark problems
- optimal solution
- multi objective genetic algorithm
- hybrid evolutionary algorithm