Multi-Objective Approach with a Distance Metric in Genetic Programming for Job Shop Scheduling.
Shady SalamaToshiya KaiharaNobutada FujiiDaisuke KokuryoPublished in: Int. J. Autom. Technol. (2022)
Keyphrases
- job shop scheduling
- distance metric
- multi objective
- genetic programming
- evolutionary algorithm
- grammar guided genetic programming
- job shop scheduling problem
- genetic algorithm
- euclidean distance
- evolutionary computation
- fitness function
- distance metric learning
- multi objective optimization
- metric learning
- optimization algorithm
- scheduling problem
- combinatorial optimization problems
- simulated annealing
- optimization problems
- distance function
- distance measure
- data points
- particle swarm optimization
- objective function
- regression problems
- resource constraints
- memetic algorithm
- neural network
- nsga ii
- differential evolution
- benchmark problems
- combinatorial optimization
- data sets
- decision trees
- information retrieval
- similarity search