Hands-On Genetic Algorithms with Python

With Hands-On Genetic Algorithms with Python, explore the ins and outs of genetic algorithms with this fast-paced guide. Implement tasks such as feature selection, search optimization, and cluster analysis using Python. (Limited-time offer)

Book Description

• Section 1: The Basics of Genetic Algorithms
• An Introduction to Genetic Algorithms
• Understanding the Key Components of Genetic Algorithms
• Section 2: Solving Problems with Genetic Algorithms
• Using the DEAP Framework
• Combinatorial Optimization
• Constraint Satisfaction
• Optimizing Continuous Functions
• Section 3: Artificial Intelligence Applications of Genetic Algorithms
• Enhancing Machine Learning Models Using Feature Selection
• Hyperparameter Tuning of Machine Learning Models
• Architecture Optimization of Deep Learning Networks
• Reinforcement Learning with Genetic Algorithms
• Section 4: Related Technologies
• Genetic Image Reconstruction
• Other Evolutionary and Bio-Inspired Computation Techniques

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