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You're reading from  Hands-On Genetic Algorithms with Python

Product typeBook
Published inJan 2020
Reading LevelIntermediate
PublisherPackt
ISBN-139781838557744
Edition1st Edition
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Eyal Wirsansky
Eyal Wirsansky
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Eyal Wirsansky

Eyal Wirsansky is a senior data scientist, an experienced software engineer, a technology community leader, and an artificial intelligence researcher. Eyal began his software engineering career over twenty-five years ago as a pioneer in the field of Voice over IP. He currently works as a member of the data platform team at Gradle, Inc. During his graduate studies, he focused his research on genetic algorithms and neural networks. A notable result of this research is a novel supervised machine learning algorithm that integrates both approaches. In addition to his professional roles, Eyal serves as an adjunct professor at Jacksonville University, where he teaches a class on artificial intelligence. He also leads both the Jacksonville, Florida Java User Group and the Artificial Intelligence for Enterprise virtual user group, and authors the developer-focused artificial intelligence blog, ai4java.
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Solving the VRP

Imagine that you now manage a larger fulfillment center. You still need to deliver packages to a list of customers, but now you have a fleet of several vehicles at your disposal. What is the best way to deliver the packages to the customers using these vehicles?

This is an example of VRP, a generalization of the TSP described in the previous section. The basic VRP consists of the following three components:

  • The list of locations that need to be visited
  • The number of vehicles
  • The location of the depot, which is used as the starting and ending point for each one of the vehicles

The problem has numerous variations, such as several depot locations, time-critical deliveries, different types of vehicles (with varying capacity and varying fuel consumption, for instance), and many more.

The goal of the problem is to minimize the cost, which can also be defined in many...

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Hands-On Genetic Algorithms with Python
Published in: Jan 2020Publisher: PacktISBN-13: 9781838557744

Author (1)

author image
Eyal Wirsansky

Eyal Wirsansky is a senior data scientist, an experienced software engineer, a technology community leader, and an artificial intelligence researcher. Eyal began his software engineering career over twenty-five years ago as a pioneer in the field of Voice over IP. He currently works as a member of the data platform team at Gradle, Inc. During his graduate studies, he focused his research on genetic algorithms and neural networks. A notable result of this research is a novel supervised machine learning algorithm that integrates both approaches. In addition to his professional roles, Eyal serves as an adjunct professor at Jacksonville University, where he teaches a class on artificial intelligence. He also leads both the Jacksonville, Florida Java User Group and the Artificial Intelligence for Enterprise virtual user group, and authors the developer-focused artificial intelligence blog, ai4java.
Read more about Eyal Wirsansky