Varying Fitness Functions in Genetic Algorithms: Studying the Rate of Increase of the Dynamic Penalty Terms.
Spiridon A. KazarlisVassilios PetridisPublished in: PPSN (1998)
Keyphrases
- fitness function
- genetic algorithm
- genetic programming
- evolutionary algorithm
- evolutionary computation
- genetic algorithm ga
- penalty function
- search space
- mutation rate
- genetic operators
- evolutionary process
- evolutionary search
- multi objective
- mutation operator
- artificial neural networks
- crossover and mutation
- fitness evaluation
- candidate solutions
- neural network
- multi objective evolutionary algorithms
- varying degrees
- crossover operator
- metaheuristic
- optimization problems
- particle swarm optimization pso
- constrained optimization problems
- genetic search
- simulated annealing
- co occurrence
- objective function