Genetic Algorithms
Overview & Synopsis
In this edition of Genetic Algorithms - Theory, Design and Programming, we present a series of scientific contributions that delve into the intricate theoretical foundations and practical nuances of genetic algorithms (GAs). Beyond the academic realm, GAs have demonstrated profound applications in societal decision-making and engineering optimization, showcased through real-world examples and case studies. A dedicated section on programming principles offers a thorough guide for implementing GAs across diverse languages. This edition, tailored for researchers and academics, serves as a testament to the scientific advancements within the field, inviting readers to explore the nuanced journey from theoretical constructs to pragmatic applications in the dynamic landscape of GAs.
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Document Information
| Document Title | Genetic Algorithms |
|---|---|
| Author / Organization | DOAB Contributor |
| Subject & Discipline | thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence |
| Categories | Open Access Books |
| Publication Year | 2024 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
Directory of Open Access Books
(www.doabooks.org)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-105262 |
| Original Source Link | Visit Source Page on www.doabooks.org » |