A genetic algorithm for multi-objective optimisation in workflow scheduling with hard constraints.
Sonia YassaJérémie SublimeRachid ChelouahHubert KadimaGeunSik JoBertrand GranadoPublished in: Int. J. Metaheuristics (2013)
Keyphrases
- hard constraints
- multi objective optimisation
- multi objective
- genetic algorithm
- multi objective evolutionary algorithms
- multi objective optimization
- nsga ii
- soft constraints
- multi criteria
- penalty function
- multi objective evolutionary
- multiple objectives
- cost function
- evolutionary algorithm
- constraint satisfaction problems
- optimization algorithm
- fitness function
- constraint satisfaction
- multiobjective optimization
- constraint violations
- graph cuts
- objective function
- efficient computation
- particle swarm optimization
- pareto optimal
- search space
- fuzzy logic
- test problems
- bi objective
- simulated annealing
- scheduling problem
- constrained optimization
- optimal solution
- metaheuristic
- neural network
- job shop scheduling problem
- differential evolution
- evolutionary computation
- genetic algorithm ga
- computational intelligence
- image processing