Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Hands-On Genetic Algorithms with Python
Hands-On Genetic Algorithms with Python

Hands-On Genetic Algorithms with Python: Apply genetic algorithms to solve real-world AI and machine learning problems , Second Edition

eBook
€15.99 €23.99
Paperback
€20.98 €29.99
Subscription
Free Trial
Renews at €18.99p/m

What do you get with Print?

Product feature icon Instant access to your digital eBook copy whilst your Print order is Shipped
Product feature icon Colour book shipped to your preferred address
Product feature icon Download this book in EPUB and PDF formats
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Product feature icon AI Assistant (beta) to help accelerate your learning
OR
Modal Close icon
Payment Processing...
tick Completed

Shipping Address

Billing Address

Shipping Methods
Table of content icon View table of contents Preview book icon Preview Book

Hands-On Genetic Algorithms with Python

Part 1: The Basics of Genetic Algorithms

In this section, you will be introduced to the key concepts of genetic algorithms, beginning with the Darwinian evolution analogy, basic principles, and theoretical foundations. We will then dive deeper into the components and implementation details of these algorithms, exploring their flow and various methods of selection, crossover, and mutation. The section also focuses on real-coded genetic algorithms and advanced concepts such as elitism, niching, and sharing, all setting the stage for problem-solving in subsequent sections.

This part contains the following chapters:

  • Chapter 1, An Introduction to Genetic Algorithms
  • Chapter 2, Understanding the Key Components of Genetic Algorithms
Left arrow icon Right arrow icon
Download code icon Download Code

Key benefits

  • Learn how to implement genetic algorithms using Python libraries DEAP, scikit-learn, and NumPy
  • Take advantage of cloud computing technology to increase the performance of your solutions
  • Discover bio-inspired algorithms such as particle swarm optimization (PSO) and NEAT
  • Purchase of the print or Kindle book includes a free PDF eBook

Description

Written by Eyal Wirsansky, a senior data scientist and AI researcher with over 25 years of experience and a research background in genetic algorithms and neural networks, Hands-On Genetic Algorithms with Python offers expert insights and practical knowledge to master genetic algorithms. After an introduction to genetic algorithms and their principles of operation, you’ll find out how they differ from traditional algorithms and the types of problems they can solve, followed by applying them to search and optimization tasks such as planning, scheduling, gaming, and analytics. As you progress, you’ll delve into explainable AI and apply genetic algorithms to AI to improve machine learning and deep learning models, as well as tackle reinforcement learning and NLP tasks. This updated second edition further expands on applying genetic algorithms to NLP and XAI and speeding up genetic algorithms with concurrency and cloud computing. You’ll also get to grips with the NEAT algorithm. The book concludes with an image reconstruction project and other related technologies for future applications. By the end of this book, you’ll have gained hands-on experience in applying genetic algorithms across a variety of fields, with emphasis on artificial intelligence with Python.

Who is this book for?

If you’re a data scientist, software developer, AI enthusiast who wants to break into the world of genetic algorithms and apply them to real-world, intelligent applications as quickly as possible, this book is for you. Working knowledge of the Python programming language is required to get started with this book.

What you will learn

  • Use genetic algorithms to solve planning, scheduling, gaming, and analytics problems
  • Create reinforcement learning, NLP, and explainable AI applications
  • Enhance the performance of ML models and optimize deep learning architecture
  • Deploy genetic algorithms using client-server architectures, enhancing scalability and computational efficiency
  • Explore how images can be reconstructed using a set of semi-transparent shapes
  • Delve into topics like elitism, niching, and multiplicity in genetic solutions to enhance optimization strategies and solution diversity
Estimated delivery fee Deliver to Spain

Premium delivery 7 - 10 business days

€17.95
(Includes tracking information)

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : Jul 12, 2024
Length: 418 pages
Edition : 2nd
Language : English
ISBN-13 : 9781805123798
Category :
Languages :
Concepts :
Tools :

What do you get with Print?

Product feature icon Instant access to your digital eBook copy whilst your Print order is Shipped
Product feature icon Colour book shipped to your preferred address
Product feature icon Download this book in EPUB and PDF formats
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Product feature icon AI Assistant (beta) to help accelerate your learning
OR
Modal Close icon
Payment Processing...
tick Completed

Shipping Address

Billing Address

Shipping Methods
Estimated delivery fee Deliver to Spain

Premium delivery 7 - 10 business days

€17.95
(Includes tracking information)

Product Details

Publication date : Jul 12, 2024
Length: 418 pages
Edition : 2nd
Language : English
ISBN-13 : 9781805123798
Category :
Languages :
Concepts :
Tools :

Packt Subscriptions

See our plans and pricing
Modal Close icon
€18.99 billed monthly
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Simple pricing, no contract
€189.99 billed annually
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just €5 each
Feature tick icon Exclusive print discounts
€264.99 billed in 18 months
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just €5 each
Feature tick icon Exclusive print discounts

Frequently bought together


Stars icon
Total 75.95 108.97 33.02 saved
Hands-On Genetic Algorithms with Python
€20.98 €29.99
Mastering PyTorch
€26.99 €38.99
Mastering NLP from Foundations to LLMs
€27.98 €39.99
Total 75.95 108.97 33.02 saved Stars icon
Banner background image

Table of Contents

23 Chapters
Part 1: The Basics of Genetic Algorithms Chevron down icon Chevron up icon
Chapter 1: An Introduction to Genetic Algorithms Chevron down icon Chevron up icon
Chapter 2: Understanding the Key Components of Genetic Algorithms Chevron down icon Chevron up icon
Part 2: Solving Problems with Genetic Algorithms Chevron down icon Chevron up icon
Chapter 3: Using the DEAP Framework Chevron down icon Chevron up icon
Chapter 4: Combinatorial Optimization Chevron down icon Chevron up icon
Chapter 5: Constraint Satisfaction Chevron down icon Chevron up icon
Chapter 6: Optimizing Continuous Functions Chevron down icon Chevron up icon
Part 3: Artificial Intelligence Applications of Genetic Algorithms Chevron down icon Chevron up icon
Chapter 7: Enhancing Machine Learning Models Using Feature Selection Chevron down icon Chevron up icon
Chapter 8: Hyperparameter Tuning of Machine Learning Models Chevron down icon Chevron up icon
Chapter 9: Architecture Optimization of Deep Learning Networks Chevron down icon Chevron up icon
Chapter 10: Reinforcement Learning with Genetic Algorithms Chevron down icon Chevron up icon
Chapter 11: Natural Language Processing Chevron down icon Chevron up icon
Chapter 12: Explainable AI, Causality, and Counterfactuals with Genetic Algorithms Chevron down icon Chevron up icon
Part 4: Enhancing Performance with Concurrency and Cloud Strategies Chevron down icon Chevron up icon
Chapter 13: Accelerating Genetic Algorithms – the Power of Concurrency Chevron down icon Chevron up icon
Chapter 14: Beyond Local Resources – Scaling Genetic Algorithms in the Cloud Chevron down icon Chevron up icon
Part 5: Related Technologies Chevron down icon Chevron up icon
Chapter 15: Evolutionary Image Reconstruction with Genetic Algorithms Chevron down icon Chevron up icon
Chapter 16: Other Evolutionary and Bio-Inspired Computation Techniques Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.8
(5 Ratings)
5 star 80%
4 star 20%
3 star 0%
2 star 0%
1 star 0%
Karthik Rajashekaran Jul 30, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Hands-On Genetic Algorithms with Python by Eyal Wirsansky is an essential resource for anyone looking to delve into the world of genetic algorithms (GAs) using Python. This comprehensive guide bridges the gap between theory and practical application, making complex concepts accessible to both beginners and seasoned developers.The book starts with the basics of genetic algorithms, explaining their biological inspiration and fundamental components like selection, crossover, mutation, and fitness functions. It then moves on to practical implementation, providing clear and well-structured Python examples that allow readers to see the theory in action.One of the standout features of this book is its focus on real-world applications. Wirsansky does an excellent job of demonstrating how GAs can be used to solve complex optimization problems, from scheduling and routing to machine learning. The inclusion of advanced topics such as multi-objective optimization, parallel GAs, and hybrid algorithms ensures that readers are well-equipped to tackle a wide range of challenges.The writing is clear and engaging, with a logical progression that makes learning straightforward. Each chapter builds on the previous one, reinforcing concepts and enhancing understanding. The practical exercises and examples are particularly valuable, providing hands-on experience that is crucial for mastering genetic algorithms.Overall, Hands-On Genetic Algorithms with Python is a must-read for data scientists, researchers, and developers interested in evolutionary algorithms. It provides the knowledge and tools needed to harness the power of genetic algorithms for solving real-world problems efficiently and effectively.Pros:- Clear and concise explanations of genetic algorithm concepts.- Practical Python examples that bridge theory and application.- Coverage of advanced topics for comprehensive learning.- Focus on real-world applications.Cons:Requires a basic understanding of Python programming.
Amazon Verified review Amazon
Steven Fernandes Aug 06, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
The book expands into creating cutting-edge applications with reinforcement learning, NLP, and explainable AI, as well as enhancing the performance of machine learning models. It covers the deployment of genetic algorithms in client-server architectures to improve scalability and computational efficiency. Readers will also explore innovative methods like image reconstruction using semi-transparent shapes and delve into advanced genetic algorithms concepts such as elitism, niching, and multiplicity to boost optimization strategies and diversify solutions. This book is a crucial resource for anyone looking to enhance their understanding and application of genetic algorithms in AI.
Amazon Verified review Amazon
Amazon Customer Sep 13, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
The book opens with a solid introduction to the principles of genetic algorithms, effectively distinguishing them from traditional algorithms. This foundational knowledge is crucial for readers who may be unfamiliar with the nuances of evolutionary computation. The author explains the types of problems GAs can solve, such as planning, scheduling, and optimization tasks, making it clear why they are a powerful tool in the data scientist's toolkit.Also the content focusing on the integration of GAs with modern AI techniques, particularly in natural language processing (NLP) and explainable AI (XAI). Genetic algorithm can enhance machine learning models, tackle reinforcement learning challenges, and optimize deep learning architectures, providing practical examples that readers can easily follow. The inclusion of advanced topics like concurrency in genetic algorithms and their deployment in cloud computing environments exemplifies the book's commitment to addressing contemporary issues in computational efficiency and scalability.
Amazon Verified review Amazon
Ernest Aug 04, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
"Hands-On Genetic Algorithms with Python" by Eyal Wirsansky stands out as an exemplary resource for anyone eager to explore the world of Genetic Algorithms (GAs). Wirsansky has crafted a comprehensive guide that caters to a wide spectrum of needs, making it an invaluable asset whether you are a student, researcher, or educator. This book brilliantly balances theoretical foundations with practical applications, providing a clear and thorough exploration of GAs.The table of contents unfolds like pieces of a puzzle, fitting together seamlessly to reveal an impressive and coherent picture of GAs. The author has included a well-organized, meticulously documented, and accessible Python code repository. This hands-on approach empowers readers to gain practical experience, enabling them to apply the techniques to their own research and projects effectively.The fact that the book has reached its second edition is a testament to its success and wide acceptance in the field. Similar to the first edition, Part 3 is the highlight, where the intersection of GAs and Artificial Intelligence (AI) is explored in depth. Topics such as Feature Selection for Machine Learning (ML) models, Hyperparameter Tuning, Architecture Optimization of Deep Learning Networks, and Reinforcement Learning with GAs are comprehensively covered, continuing to build on the solid foundation laid in the previous edition.In this new edition, Wirsansky has introduced two captivating chapters: “Natural Language Processing (NLP)”, and “Explainable AI, Causality, and Counterfactuals with Genetic Algorithms”. These additions are not only timely but also extremely impactful, given the current prominence of these topics. The discussion on counterfactuals, though concise, manages to be both informative and profound, providing readers with a nuanced understanding of its applications. I eagerly anticipate the third edition, hoping to see more examples of GAs applied to XAI and Causality.A notable addition to this edition is the chapter on Enhancing Performance with Concurrency and Cloud Strategies. This is particularly relevant for professionals dealing with big data or projects that demand swift execution. It introduces a new dimension to the book, equipping readers with strategies to handle computational challenges efficiently.The final chapter offers a glimpse into other evolutionary and bio-inspired computation methods, serving as a valuable guide for fundamental researchers and curious learners looking to expand their knowledge beyond Genetic Algorithms. This "where-to-go" section opens new avenues for exploration and study.Looking forward, it would be beneficial for future editions to address the (current) limitations of GAs. Given Eyal Wirsansky's expertise in both GAs and Deep Learning (DL), an exploration of how GAs could potentially revolutionize DL in the future would be particularly fascinating and insightful.
Amazon Verified review Amazon
Om S Jul 31, 2024
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
Eyal Wirsansky's "Hands-On Genetic Algorithms with Python" is an excellent resource for mastering genetic algorithms using Python. It addresses topics like search, optimization, machine learning, and deep learning. The guide demonstrates how to leverage cloud computing for improved performance and covers bio-inspired algorithms such as PSO and NEAT. Ideal for data scientists and AI enthusiasts with Python skills, it includes practical examples and projects. This book is a valuable tool for anyone looking to implement genetic algorithms in real-world AI applications.
Amazon Verified review Amazon
Get free access to Packt library with over 7500+ books and video courses for 7 days!
Start Free Trial

FAQs

What is the delivery time and cost of print book? Chevron down icon Chevron up icon

Shipping Details

USA:

'

Economy: Delivery to most addresses in the US within 10-15 business days

Premium: Trackable Delivery to most addresses in the US within 3-8 business days

UK:

Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable

Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

EU:

Premium: Trackable delivery to most EU destinations within 4-9 business days.

Australia:

Economy: Can deliver to P. O. Boxes and private residences.
Trackable service with delivery to addresses in Australia only.
Delivery time ranges from 7-9 business days for VIC and 8-10 business days for Interstate metro
Delivery time is up to 15 business days for remote areas of WA, NT & QLD.

Premium: Delivery to addresses in Australia only
Trackable delivery to most P. O. Boxes and private residences in Australia within 4-5 days based on the distance to a destination following dispatch.

India:

Premium: Delivery to most Indian addresses within 5-6 business days

Rest of the World:

Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days

Asia:

Premium: Delivery to most Asian addresses within 5-9 business days

Disclaimer:
All orders received before 5 PM U.K time would start printing from the next business day. So the estimated delivery times start from the next day as well. Orders received after 5 PM U.K time (in our internal systems) on a business day or anytime on the weekend will begin printing the second to next business day. For example, an order placed at 11 AM today will begin printing tomorrow, whereas an order placed at 9 PM tonight will begin printing the day after tomorrow.


Unfortunately, due to several restrictions, we are unable to ship to the following countries:

  1. Afghanistan
  2. American Samoa
  3. Belarus
  4. Brunei Darussalam
  5. Central African Republic
  6. The Democratic Republic of Congo
  7. Eritrea
  8. Guinea-bissau
  9. Iran
  10. Lebanon
  11. Libiya Arab Jamahriya
  12. Somalia
  13. Sudan
  14. Russian Federation
  15. Syrian Arab Republic
  16. Ukraine
  17. Venezuela
What is custom duty/charge? Chevron down icon Chevron up icon

Customs duty are charges levied on goods when they cross international borders. It is a tax that is imposed on imported goods. These duties are charged by special authorities and bodies created by local governments and are meant to protect local industries, economies, and businesses.

Do I have to pay customs charges for the print book order? Chevron down icon Chevron up icon

The orders shipped to the countries that are listed under EU27 will not bear custom charges. They are paid by Packt as part of the order.

List of EU27 countries: www.gov.uk/eu-eea:

A custom duty or localized taxes may be applicable on the shipment and would be charged by the recipient country outside of the EU27 which should be paid by the customer and these duties are not included in the shipping charges been charged on the order.

How do I know my custom duty charges? Chevron down icon Chevron up icon

The amount of duty payable varies greatly depending on the imported goods, the country of origin and several other factors like the total invoice amount or dimensions like weight, and other such criteria applicable in your country.

For example:

  • If you live in Mexico, and the declared value of your ordered items is over $ 50, for you to receive a package, you will have to pay additional import tax of 19% which will be $ 9.50 to the courier service.
  • Whereas if you live in Turkey, and the declared value of your ordered items is over € 22, for you to receive a package, you will have to pay additional import tax of 18% which will be € 3.96 to the courier service.
How can I cancel my order? Chevron down icon Chevron up icon

Cancellation Policy for Published Printed Books:

You can cancel any order within 1 hour of placing the order. Simply contact [email protected] with your order details or payment transaction id. If your order has already started the shipment process, we will do our best to stop it. However, if it is already on the way to you then when you receive it, you can contact us at [email protected] using the returns and refund process.

Please understand that Packt Publishing cannot provide refunds or cancel any order except for the cases described in our Return Policy (i.e. Packt Publishing agrees to replace your printed book because it arrives damaged or material defect in book), Packt Publishing will not accept returns.

What is your returns and refunds policy? Chevron down icon Chevron up icon

Return Policy:

We want you to be happy with your purchase from Packtpub.com. We will not hassle you with returning print books to us. If the print book you receive from us is incorrect, damaged, doesn't work or is unacceptably late, please contact Customer Relations Team on [email protected] with the order number and issue details as explained below:

  1. If you ordered (eBook, Video or Print Book) incorrectly or accidentally, please contact Customer Relations Team on [email protected] within one hour of placing the order and we will replace/refund you the item cost.
  2. Sadly, if your eBook or Video file is faulty or a fault occurs during the eBook or Video being made available to you, i.e. during download then you should contact Customer Relations Team within 14 days of purchase on [email protected] who will be able to resolve this issue for you.
  3. You will have a choice of replacement or refund of the problem items.(damaged, defective or incorrect)
  4. Once Customer Care Team confirms that you will be refunded, you should receive the refund within 10 to 12 working days.
  5. If you are only requesting a refund of one book from a multiple order, then we will refund you the appropriate single item.
  6. Where the items were shipped under a free shipping offer, there will be no shipping costs to refund.

On the off chance your printed book arrives damaged, with book material defect, contact our Customer Relation Team on [email protected] within 14 days of receipt of the book with appropriate evidence of damage and we will work with you to secure a replacement copy, if necessary. Please note that each printed book you order from us is individually made by Packt's professional book-printing partner which is on a print-on-demand basis.

What tax is charged? Chevron down icon Chevron up icon

Currently, no tax is charged on the purchase of any print book (subject to change based on the laws and regulations). A localized VAT fee is charged only to our European and UK customers on eBooks, Video and subscriptions that they buy. GST is charged to Indian customers for eBooks and video purchases.

What payment methods can I use? Chevron down icon Chevron up icon

You can pay with the following card types:

  1. Visa Debit
  2. Visa Credit
  3. MasterCard
  4. PayPal
What is the delivery time and cost of print books? Chevron down icon Chevron up icon

Shipping Details

USA:

'

Economy: Delivery to most addresses in the US within 10-15 business days

Premium: Trackable Delivery to most addresses in the US within 3-8 business days

UK:

Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable

Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

EU:

Premium: Trackable delivery to most EU destinations within 4-9 business days.

Australia:

Economy: Can deliver to P. O. Boxes and private residences.
Trackable service with delivery to addresses in Australia only.
Delivery time ranges from 7-9 business days for VIC and 8-10 business days for Interstate metro
Delivery time is up to 15 business days for remote areas of WA, NT & QLD.

Premium: Delivery to addresses in Australia only
Trackable delivery to most P. O. Boxes and private residences in Australia within 4-5 days based on the distance to a destination following dispatch.

India:

Premium: Delivery to most Indian addresses within 5-6 business days

Rest of the World:

Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days

Asia:

Premium: Delivery to most Asian addresses within 5-9 business days

Disclaimer:
All orders received before 5 PM U.K time would start printing from the next business day. So the estimated delivery times start from the next day as well. Orders received after 5 PM U.K time (in our internal systems) on a business day or anytime on the weekend will begin printing the second to next business day. For example, an order placed at 11 AM today will begin printing tomorrow, whereas an order placed at 9 PM tonight will begin printing the day after tomorrow.


Unfortunately, due to several restrictions, we are unable to ship to the following countries:

  1. Afghanistan
  2. American Samoa
  3. Belarus
  4. Brunei Darussalam
  5. Central African Republic
  6. The Democratic Republic of Congo
  7. Eritrea
  8. Guinea-bissau
  9. Iran
  10. Lebanon
  11. Libiya Arab Jamahriya
  12. Somalia
  13. Sudan
  14. Russian Federation
  15. Syrian Arab Republic
  16. Ukraine
  17. Venezuela