A hybrid particle swarm optimization and simulated annealing algorithm for job-shop scheduling.
Pingchuan MaFei TaoYilong LiuLin ZhangHua Xin LuZhi DingPublished in: CASE (2014)
Keyphrases
- simulated annealing algorithm
- hybrid particle swarm optimization
- job shop scheduling
- simulated annealing
- job shop scheduling problem
- hybrid algorithm
- premature convergence
- particle swarm optimization pso
- tabu search
- scheduling problem
- genetic algorithm
- benchmark problems
- pso algorithm
- nature inspired
- genetic algorithm ga
- combinatorial optimization problems
- metaheuristic
- differential evolution
- data clustering
- search algorithm
- resource constraints
- convergence speed
- mutation operator
- evolutionary algorithm
- combinatorial optimization
- particle swarm
- medical image registration
- global search
- parameter settings
- optimization methods
- fitness function
- optimization method
- optimization algorithm
- solution space
- particle swarm optimization
- feasible solution
- particle swarm optimization algorithm
- solution quality
- semi supervised
- swarm intelligence
- global optimization
- traveling salesman problem
- machine learning