An improved PSO algorithm with genetic and neighborhood-based diversity operators for the job shop scheduling problem.
Rehab F. Abdel-KaderPublished in: Appl. Artif. Intell. (2018)
Keyphrases
- job shop scheduling problem
- pso algorithm
- genetic algorithm
- particle swarm optimization
- premature convergence
- particle swarm optimization pso
- simulated annealing
- job shop scheduling
- global optimization
- tabu search
- critical path
- genetic algorithm ga
- particle swarm optimization algorithm
- convergence speed
- metaheuristic
- scheduling problem
- particle swarm
- memetic algorithm
- faster convergence
- fitness function
- multi objective
- benchmark problems
- particle swarm optimisation
- swarm intelligence
- search capabilities
- nature inspired
- differential evolution
- inertia weight
- ant colony optimization
- optimization algorithm
- combinatorial optimization problems
- hybrid pso
- hybrid algorithm
- evolutionary algorithm
- adaptive particle swarm optimization
- global search
- pid controller
- graph model
- combinatorial optimization
- evolutionary computation
- collaborative filtering
- lower bound
- global optimization problems
- crossover operator
- genetic programming
- information retrieval
- neural network
- artificial neural networks