Performance consequences of introducing an internal penalty function to a genetic algorithm for scheduling.
Michael DohertyChih-Cheng HungPublished in: RACS (2013)
Keyphrases
- penalty function
- genetic algorithm
- real coded
- constraint handling
- constrained optimization
- fitness function
- constrained optimization problems
- penalty functions
- hard constraints
- unconstrained optimization
- scheduling problem
- scheduling algorithm
- objective function
- genetic programming
- saddle point
- evolutionary computation
- round robin
- neural network
- resource constraints
- parallel machines
- resource allocation
- genetic algorithm ga
- simulated annealing
- real time database systems
- multi objective optimization
- artificial neural networks
- particle swarm optimization
- job shop scheduling problem
- population size
- cost function
- multi objective
- evolutionary algorithm