Ensemble meta-heuristics and Q-learning for solving unmanned surface vessels scheduling problems.
Minglong GaoKaizhou GaoZhen-Fang MaWeiyu TangPublished in: Swarm Evol. Comput. (2023)
Keyphrases
- metaheuristic
- scheduling problem
- combinatorial optimization
- tabu search
- makespan minimization
- simulated annealing
- job shop scheduling problem
- learning algorithm
- optimal solution
- combinatorial optimization problems
- ant colony optimization
- optimization problems
- genetic algorithm
- mip solver
- flowshop
- reinforcement learning
- search space
- vehicle routing problem
- particle swarm optimization
- suboptimal solutions
- single machine
- benchmark instances
- specific problems
- job shop scheduling
- combinatorial problems
- processing times
- nature inspired
- function approximation
- hybrid algorithms
- state space
- precedence constraints
- neural network
- blood vessels
- np hard
- branch and bound algorithm
- search methods
- dynamic programming
- parallel machines
- benchmark problems
- job shop
- branch and bound
- evolutionary algorithm
- release dates
- stochastic approximation
- feasible solution
- traveling salesman problem