Genetic algorithm with normal boundary intersection for multi-objective early/tardy scheduling problem with carbon-emission consideration: a Pareto-optimum solution.
Hudaifah HudaifahAndriansyah AndriansyahKhaled Al-ShareefM. N. DarghouthHaitham H. SalehPublished in: Neural Comput. Appl. (2024)
Keyphrases
- multi objective
- scheduling problem
- genetic algorithm
- single machine
- multi objective optimization
- evolutionary algorithm
- optimization algorithm
- flowshop
- multiobjective optimization
- np hard
- job shop scheduling problem
- nsga ii
- processing times
- tabu search
- objective function
- minimizing makespan
- permutation flowshop
- particle swarm optimization
- evolutionary optimization
- multiple objectives
- pareto optimal
- setup times
- precedence constraints
- fitness function
- parallel machines
- simulated annealing
- evolutionary computation
- multi objective optimization problems
- genetic operators
- bi objective
- genetic programming
- conflicting objectives
- multiobjective evolutionary algorithm
- carbon dioxide
- pareto dominance
- optimization method
- dynamic programming
- squeaky wheel
- genetic algorithm ga
- object boundaries
- pareto optimal solutions
- optimum design
- production scheduling
- single machine scheduling problem
- line segments
- optimization problems
- greenhouse gas emissions