Varying fitness functions in genetic algorithm constrained optimization: the cutting stock and unit commitment problems.
Vassilios PetridisSpiridon A. KazarlisAnastasios G. BakirtzisPublished in: IEEE Trans. Syst. Man Cybern. Part B (1998)
Keyphrases
- fitness function
- constrained optimization
- genetic algorithm
- constrained optimization problems
- cutting stock
- penalty function
- genetic programming
- evolutionary algorithm
- lot sizing
- evolutionary strategy
- optimization problems
- unit commitment
- crossover operator
- bin packing
- evolutionary computation
- genetic algorithm ga
- lagrange multipliers
- metaheuristic
- fuzzy logic
- multi objective
- packing problem
- objective function
- graphical models
- initial population
- fitness evaluation
- test problems
- genetic operators
- mutation operator
- multi objective optimization
- particle swarm optimization pso
- search algorithm
- bayesian networks