A modified biogeography-based optimization algorithm with improved mutation operator for job shop scheduling problem with time lags.
Madiha HarrabiOlfa Belkahla DrissKhaled GhédiraPublished in: Log. J. IGPL (2021)
Keyphrases
- optimization algorithm
- mutation operator
- differential evolution
- job shop scheduling problem
- genetic algorithm
- multi objective
- biogeography based optimization
- job shop scheduling
- crossover operator
- nsga ii
- evolutionary algorithm
- memetic algorithm
- premature convergence
- artificial bee colony
- genetic operators
- optimization method
- simulated annealing
- critical path
- tabu search
- convergence speed
- scheduling problem
- multi objective evolutionary algorithms
- benchmark problems
- function optimization
- particle swarm optimization pso
- multi objective optimization
- combinatorial optimization problems
- evolutionary multi objective
- traveling salesman problem
- hybrid algorithm
- constrained optimization problems
- graph model
- artificial immune system
- fitness function
- multiobjective optimization
- harmony search
- population diversity
- artificial neural networks
- control parameters
- hybrid optimization algorithm
- optimization problems
- particle swarm optimization
- genetic algorithm ga
- evolutionary computation
- particle swarm
- particle swarm optimisation
- convergence rate
- vehicle routing problem
- step size