A bi-objective evolutionary algorithm for minimizing maximum lateness and total pollution cost on non-identical parallel batch processing machines.
Kai LiHan ZhangChengbin ChuZhao-hong JiaYan WangPublished in: Comput. Ind. Eng. (2022)
Keyphrases
- batch processing machines
- maximum lateness
- evolutionary algorithm
- bi objective
- multi objective
- multi objective optimization
- single machine
- scheduling problem
- nsga ii
- parallel machines
- flowshop
- multiple objectives
- efficient solutions
- optimization problems
- precedence constraints
- differential evolution
- fitness function
- optimization algorithm
- release dates
- simulated annealing
- sequence dependent setup times
- particle swarm optimization
- special case
- genetic algorithm
- processing times
- total cost
- ant colony optimization
- dynamic programming
- knapsack problem
- neural network
- worst case