Multi-objective Q-learning-based hyper-heuristic with Bi-criteria selection for energy-aware mixed shop scheduling.
Lixin ChengQiuhua TangLiping ZhangZikai ZhangPublished in: Swarm Evol. Comput. (2022)
Keyphrases
- multi objective
- energy aware
- hyper heuristics
- evolutionary algorithm
- bicriteria
- multiple objectives
- multi objective optimization
- efficient solutions
- routing protocol
- shortest path problem
- scheduling problem
- energy consumption
- knapsack problem
- wireless sensor networks
- optimization algorithm
- optimization problems
- reinforcement learning
- energy efficiency
- smart home
- sensor networks
- flowshop
- high performance computing
- genetic programming
- routing algorithm
- learning algorithm
- data center
- metaheuristic
- objective function
- particle swarm optimization
- timetabling problem
- differential evolution
- nsga ii
- constraint satisfaction problems
- state space
- integer linear programming
- genetic algorithm
- difficult problems
- simulated annealing
- heuristic methods
- dynamic programming