An Improved Evolution Strategy Hybridization With Simulated Annealing for Permutation Flow Shop Scheduling Problems.
Bilal KhurshidShahid MaqsoodMuhammad OmairBiswajit SarkarImran AhmadKhan MuhammadPublished in: IEEE Access (2021)
Keyphrases
- evolution strategy
- flowshop
- simulated annealing
- scheduling problem
- evolutionary algorithm
- tabu search
- hybrid algorithm
- global search
- optimization methods
- genetic algorithm
- squeaky wheel
- metaheuristic
- processing times
- single machine
- cma es
- differential evolution
- sequence dependent setup times
- simulated annealing algorithm
- job shop scheduling problem
- setup times
- makespan minimization
- flowshop scheduling
- genetic algorithm ga
- minimizing makespan
- search procedure
- job shop
- asymptotic optimality
- multi objective
- memetic algorithm
- benchmark problems
- maximum lateness
- optimization problems
- special case
- job shop scheduling
- permutation flowshop
- total tardiness
- precedence constraints
- solution space
- feasible solution
- combinatorial optimization
- optimization method
- total weighted tardiness
- fitness function
- numerical optimization
- parallel machines
- hill climbing
- particle swarm optimization algorithm
- particle swarm optimization pso
- np hard
- ant colony optimization
- flowshop scheduling problems
- release dates
- exhaustive search
- search methods
- multistage
- neural network