Multi-objective Evolutionary Algorithms are Generally Good: Maximizing Monotone Submodular Functions over Sequences.
Chao QianDan-Xuan LiuChao FengKe TangPublished in: CoRR (2021)
Keyphrases
- optimization algorithm
- multi objective evolutionary algorithms
- submodular functions
- multi objective
- objective function
- nsga ii
- greedy algorithm
- differential evolution
- multi objective optimization
- facility location problem
- evolutionary algorithm
- energy function
- multiobjective optimization
- combinatorial optimization
- convex optimization
- multiple objectives
- particle swarm optimization
- learning problems
- test problems
- optimization problems
- approximation algorithms
- benchmark problems
- genetic programming
- multi criteria
- simulated annealing
- upper bound
- lower bound