Genetic Algorithms in Java Basics

  • 2h 17m
  • Burak Kanber, Lee Jacobson
  • Apress
  • 2015

Genetic Algorithms in Java Basics is a brief introduction to solving problems using genetic algorithms, with working projects and solutions written in the Java programming language. This brief book will guide you step-by-step through various implementations of genetic algorithms and some of their common applications, with the aim to give you a practical understanding allowing you to solve your own unique, individual problems. After reading this book you will be comfortable with the language specific issues and concepts involved with genetic algorithms and you'll have everything you need to start building your own.

Genetic algorithms are frequently used to solve highly complex real world problems and with this book you too can harness their problem solving capabilities. Understanding how to utilize and implement genetic algorithms is an essential tool in any respected software developer’s toolkit. So step into this intriguing topic and learn how you too can improve your software with genetic algorithms, and see real Java code at work which you can develop further for your own projects and research.

  • Guides you through the theory behind genetic algorithms
  • Explains how genetic algorithms can be used for software developers trying to solve a range of problems
  • Provides a step-by-step guide to implementing genetic algorithms in Java

About the Authors

Lee Jacobson is a professional freelance software developer from Bristol, England who first began writing code at the age of 15 while trying to write his own games. His interest soon transitioned to software development and computer science which led him to the field of artificial intelligence. He found a passion for the subject after studying Genetic Algorithms and other optimization techniques at university. He would often enjoy spending his evenings learning about optimization algorithms such as genetic algorithms and how he could use them to solve various problems.

Burak Kanber is a New York City native and attended The Cooper Union for the Advancement of Science and Art. He earned both a Bachelor's and a Master's degree in Mechanical Engineering, concentrating on control systems, robotics, automotive engineering, and hybrid vehicle systems engineering. Software, however, had been a lifelong passion and consistent thread throughout Burak's life.

Burak began consulting with startups in New York City while attending The Cooper Union, helping companies develop core technology on a variety of platforms and in various industries. Exposure to art and design at The Cooper Union also helped Burak develop an eye and taste for product design.

Since founding Tidal Labs in 2009—a technology company that makes award-winning software for enterprise influencer management and content marketing–Burak has honed his skills in DevOps, Product Development, and Machine Learning.

In this Book

  • Introduction
  • Implementation of a Basic Genetic Algorithm
  • Robotic Controllers
  • Traveling Salesman
  • Class Scheduling
  • Optimization