Reproducibility and baseline reporting for dynamic multi-objective benchmark problems.
Daniel HerringMichael KirleyXin YaoPublished in: GECCO (2022)
Keyphrases
- benchmark problems
- multi objective
- simulated annealing
- optimization problems
- evolutionary algorithm
- test problems
- multi objective optimization
- optimisation problems
- job shop scheduling problem
- particle swarm optimization
- optimization algorithm
- vehicle routing problem with time windows
- nsga ii
- genetic algorithm
- multi objective optimization problems
- hard combinatorial optimization problems
- dynamic environments
- vehicle routing problem
- swarm intelligence
- multiple objectives
- particle swarm optimization pso
- optimization method
- differential evolution
- optimisation algorithm
- cost function