Hands-On Genetic Algorithms with Python: Applying genetic algorithms to solve real-world deep learning and artificial intelligence problems
- Birmingham : Packt Publishing, 2020
- vii, 331 p. ; ill 24 cm
Includes bibliographical references and index.
Using this book, you will gain expertise in genetic algorithms, understand how they work and know when and how to use them to create intelligent Python-based applications. By the end of this book, you will have hands-on experience applying genetic algorithms to artificial intelligence as well as numerous other domains
9781838557744
Genetic algorithms Computer science Computer program language Python Computer simulation Machine theory Discrete mathematics; Artificial immune systems(AIS) Blend crossover Combinatorial optimization Crossover methods DEAP framework Eggholder function undamental theorem of generic algorithms Hyperparameters Image processing Knapsack problem MountainCar environment N-Queens problem OneMax problem Particle swarm optimization(PSO) Roulette wheel selection Selection methods Tree structures Vehicle routing problem