How Genetic Algorithms Really Work: Mutation and Hillclimbing.
Heinz MühlenbeinPublished in: PPSN (1992)
Keyphrases
- genetic algorithm
- population size
- fitness function
- mutation operator
- evolutionary algorithm
- differential evolution
- neural network
- genetic algorithm ga
- fuzzy logic
- optimization method
- simulated annealing
- crossover operator
- evolutionary computation
- artificial neural networks
- genetic operators
- particle swarm optimization
- tabu search
- multi objective
- genetic programming
- crossover and mutation
- function optimization
- evolutionary computing
- evolutionary process
- search capabilities
- case study
- metaheuristic
- parameter optimization
- candidate solutions
- real time
- genetic search
- natural selection
- mutation rate
- hybrid ga