On the Pheromone Update Rules of Ant Colony Optimization Approaches for the Job Shop Scheduling Problem.
Dong Do DucHuy Q. DinhHuan Hoang XuanPublished in: PRIMA (2008)
Keyphrases
- optimization approaches
- job shop scheduling problem
- ant colony
- update rules
- ant colony optimization
- combinatorial optimization problems
- update rule
- metaheuristic
- genetic algorithm
- ant colony optimization algorithm
- optimization methods
- pheromone trails
- simulated annealing
- tabu search
- ant colony algorithm
- swarm intelligence
- traveling salesman problem
- optimisation algorithm
- mathematical programming
- scheduling problem
- aco algorithm
- memetic algorithm
- particle swarm optimization
- particle swarm optimisation
- benchmark problems
- ant colony optimisation
- ant colonies
- combinatorial optimization
- loss function
- hybrid algorithm
- optimization problems
- optimization method
- graph model
- particle swarm optimization pso
- neural network
- genetic algorithm ga
- dynamic programming
- feasible solution
- evolutionary computation
- fixpoint
- evolutionary algorithm
- artificial intelligence
- global optimization
- learning rate
- vehicle routing problem