A Hybrid Discrete Bacterial Memetic Algorithm with Simulated Annealing for Optimization of the Flow Shop Scheduling Problem.
Anita AgárdiKároly NehézOlivér HornyákLászló T. KóczyPublished in: Symmetry (2021)
Keyphrases
- memetic algorithm
- simulated annealing
- tabu search
- combinatorial optimization
- continuous optimization
- optimization method
- optimization methods
- metaheuristic
- genetic algorithm
- stochastic search
- job shop scheduling problem
- optimization problems
- evolutionary algorithm
- benchmark instances
- assembly line balancing
- timetabling problem
- simulated annealing algorithm
- optimization algorithm
- test problems
- genetic algorithm ga
- feasible solution
- benchmark problems
- solution quality
- evolutionary computation
- hill climbing
- real time
- vehicle routing problem
- constrained optimization
- global optimum
- traveling salesman problem
- decision variables
- scheduling problem
- computational biology
- continuous domains
- fitness function
- fuzzy logic
- branch and bound algorithm