An estimation of distribution algorithm (EDA) variant with QGA for Flowshop scheduling problem.
Muhammad Shahid LatifHong ZhouAmir AliPublished in: ICDIP (2014)
Keyphrases
- estimation of distribution algorithms
- flowshop
- scheduling problem
- quantum genetic algorithm
- feature subset selection
- particle swarm optimization algorithm
- evolutionary computation
- convergence speed
- processing times
- minimizing makespan
- multi objective
- genetic algorithm
- evolutionary algorithm
- single machine
- setup times
- maximum lateness
- np hard
- flowshop scheduling
- multi objective optimization
- combinatorial optimization
- tabu search
- combinatorial optimization problems
- particle swarm optimization
- special case
- continuous domains
- genetic programming
- sequence dependent setup times
- minimizing total tardiness
- permutation flowshop
- total tardiness
- parallel machines
- job shop scheduling problem
- simulated annealing
- precedence constraints
- completion times
- single machine scheduling problem
- convergence rate
- optimization algorithm
- differential evolution
- neural network
- optimal solution
- artificial intelligence
- feasible solution