Hands-on Genetic Algorithms with Python (Record no. 33263)
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| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
|---|---|
| ISBN | 9781835887744 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.31 |
| Author Mark | WIR-H |
| 100 ## - MAIN ENTRY--AUTHOR | |
| Author Name | Eyal, Wirsansky, |
| 245 #0 - TITLE STATEMENT | |
| Title | Hands-on Genetic Algorithms with Python |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of Publication | Birmingham |
| Name of publisher, distributor, etc. | Packt, |
| Date of publication, distribution, etc. | 2020 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Pages | vii 319 p |
| Dimensions | 23.5 x 19.1 x 1.84 cm |
| 500 ## - GENERAL NOTE | |
| General note | Genetic algorithms are a family of search, optimization, and learning algorithms inspired by the principles of natural evolution. By imitating the evolutionary process, genetic algorithms can overcome hurdles encountered in traditional search algorithms and provide high-quality solutions for a variety of problems. This book will help you get to grips with a powerful yet simple approach to applying genetic algorithms to a wide range of tasks using Python, covering the latest developments in artificial intelligence.<br/><br/>After introducing you to genetic algorithms and their principles of operation, you'll understand how they differ from traditional algorithms and what types of problems they can solve. You'll then discover how they can be applied to search and optimization problems, such as planning, scheduling, gaming, and analytics. As you advance, you'll also learn how to use genetic algorithms to improve your machine learning and deep learning models, solve reinforcement learning tasks, and perform image reconstruction. Finally, you'll cover several related technologies that can open up new possibilities for future applications.<br/><br/>By the end of this book, you'll have hands-on experience of applying genetic algorithms in artificial intelligence as well as in numerous other domains. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Including with index |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Subject / Department | Computer Science, Python, Algorithm, Genetic Algorithm, Deep Learning, |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Book |
| Withdrawn status | Not for loan | Collection code | Permanent Location | Current Location | Shelving Location | Date acquired | Source of acquisition | Price | Inventory number | Full Call Number | Accession No./Barcode | Date last seen | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Computer Science | Air University Multan Campus Library | Air University Multan Campus Library | Computer Science | 06/03/2024 | Ali Books Services | 1686.00 | 0258 | 006.31 WIR-H | P004882 | 09/24/2024 | Book |