文件名称:
Genetic.Algorithms.with.Python
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文件大小: 9mb
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上传时间: 2016-10-20
详细说明： Genetic algorithms are one of the tools you can use to apply machine learning to finding good, sometimes even optimal, solutions to problems that have billions of potential solutions. This book gives you experience making genetic algorithms work for you, using e asy-to-follow example problems that you can fall back upon when learning to use other machine learning tools and techniques. Each chapter is a step-by-step tutorial that helps to build your skills at using genetic algorithms to solve problems using Python. Download the sample chapters for a brief introduction to genetic algorithms and the writing style used in this book. Python is a high-level, low ceremony and powerful language whose code can be easily understood even by entry-level programmers. If you have experience with another programming language then you should have no difficulty learning Python by induction. The code in this book is open source, licensed under the Apache License, Version 2.0. The final code from each chapter is available for download using a link at the end of the chapter. Table of Contents Chapter 1: Hello World! Chapter 2: One Max Problem Chapter 3: Sorted Numbers Chapter 4: the 8 Queens Puzzle Chapter 5: Graph Coloring Chapter 6: Card Problem Chapter 7: Knights Problem Chapter 8: Magic Squares Chapter 9: Knapsack Problem Chapter 10: Solving Linear Equations Chapter 11: Generating Sudoku Chapter 12: Traveling Salesman Problem Chapter 13: Approximating Pi Chapter 14: Equation Generation Chapter 15: The Lawnmower Problem Chapter 16: Logic Circuits Chapter 17: Regular Expressions Chapter 18: Tic-tac-toe ...展开收缩
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