Repairing Infeasibility in Scheduling via Genetic Algorithms.
Raúl MencíaCarlos MencíaRamiro VarelaPublished in: IWINAC (2) (2019)
Keyphrases
- genetic algorithm
- infeasible solutions
- scheduling problem
- scheduling algorithm
- dynamic scheduling
- tabu search
- multi objective
- neural network
- simulated annealing
- feasible solution
- evolutionary computation
- genetic programming
- metaheuristic
- fitness function
- artificial neural networks
- resource allocation
- parallel machines
- genetic search
- round robin
- benchmark problems
- fuzzy logic
- special case
- scheduling strategy
- multidimensional knapsack problem
- genetic operators
- stochastic search algorithms
- evolutionary algorithm
- search algorithm
- genetic algorithm ga
- batch processing
- real time database systems
- parallel processors
- differential evolution
- evolution strategy
- job shop scheduling problem
- particle swarm optimization
- test problems
- multi objective optimization