Genetic Algorithm enhanced by Deep Reinforcement Learning in parent selection mechanism and mutation : Minimizing makespan in permutation flow shop scheduling problems.
Maissa IrmouliNourelhouda BenazzougAlaa Dania AdimiFatma Zohra RezkellahImane HamzaouiThanina HamitouchePublished in: CoRR (2023)
Keyphrases
- minimizing makespan
- selection mechanism
- flowshop
- scheduling problem
- genetic algorithm
- squeaky wheel
- reinforcement learning
- tabu search
- total flowtime
- flowshop scheduling
- setup times
- single machine
- processing times
- evolutionary algorithm
- job shop scheduling problem
- maximum tardiness
- bicriteria
- sequence dependent setup times
- np hard
- total tardiness
- differential evolution
- mutation operator
- fitness function
- parallel machines
- flowshop scheduling problems
- permutation flowshop
- maximum lateness
- clonal selection algorithm
- crossover operator
- genetic algorithm ga
- job shop scheduling
- simulated annealing
- special case
- optimal policy
- multi objective
- unrelated parallel machines
- job shop
- metaheuristic
- dynamic programming
- ant colony optimization
- lot streaming
- markov random field
- hybrid algorithm