A Hybrid Algorithm for Multi-Objective Optimization of Minimizing Makespan and Total Flow Time in Permutation Flow Shop Scheduling Problems.
R. RajkumarR. B. Jeen RobertPublished in: Inf. Technol. Control. (2019)
Keyphrases
- hybrid algorithm
- multi objective optimization
- minimizing makespan
- flowshop
- scheduling problem
- tabu search
- differential evolution
- multi objective
- genetic algorithm
- evolutionary algorithm
- particle swarm optimization
- total flowtime
- simulated annealing
- processing times
- completion times
- single machine
- setup times
- bicriteria
- sequence dependent setup times
- ant colony optimization
- np hard
- nsga ii
- flowshop scheduling
- feasible solution
- particle swarm optimization pso
- multiple objectives
- metaheuristic
- optimization algorithm
- job shop
- special case
- optimization method
- memetic algorithm
- evolutionary computation
- bi objective
- job shop scheduling problem
- multi objective evolutionary algorithms
- test problems
- parallel machines
- premature convergence
- precedence constraints
- multiobjective optimization
- initial solution
- optimal solution
- neural network
- strongly np hard
- search procedure
- search algorithm
- vehicle routing problem
- artificial neural networks
- fitness function
- evolution strategy
- global optimization
- permutation flowshop
- genetic programming
- objective function
- optimization problems