A Q-learning memetic algorithm for energy-efficient heterogeneous distributed assembly permutation flowshop scheduling considering priorities.
Cong LuoWenyin GongFei MingChao LuPublished in: Swarm Evol. Comput. (2024)
Keyphrases
- energy efficient
- memetic algorithm
- flowshop scheduling
- heterogeneous distributed
- wireless sensor networks
- tabu search
- flowshop scheduling problems
- energy consumption
- flowshop
- sensor networks
- reinforcement learning
- cooperative
- multi agent
- state space
- evolutionary computation
- crossover operator
- combinatorial optimization
- energy efficiency
- genetic algorithm
- sensor nodes
- base station
- multi core architecture
- vehicle routing problem
- scheduling problem
- query processing
- routing protocol
- computational intelligence
- dynamic programming
- power consumption
- metaheuristic
- optimization algorithm
- genetic programming
- optimization problems