EMOGA: A Hybrid Genetic Algorithm With Extremal Optimization Core for Multiobjective Disassembly Line Balancing.
Francesco PistolesiBeatrice LazzeriniMichela Dalle MuraGino DiniPublished in: IEEE Trans. Ind. Informatics (2018)
Keyphrases
- extremal optimization
- multi objective
- evolutionary algorithm
- simulated annealing
- evolutionary search
- optimization algorithm
- multi objective optimization
- multiobjective optimization
- multiple objectives
- particle swarm optimization
- hybrid genetic algorithm
- nsga ii
- genetic algorithm
- objective function
- crossover operator
- pareto optimal
- multiobjective evolutionary algorithm
- conflicting objectives
- line segments
- fitness function
- evolutionary process
- multiobjective genetic algorithm
- multiobjective evolutionary algorithms
- uniform design
- bi objective
- genetic operators
- reverse logistics
- evolutionary computation
- active learning
- global optimization
- computational intelligence
- reverse engineering
- machine learning