Applied Evolutionary Algorithms for Engineers Using Python - Info and Reading Options
By Leonardo Azevedo Scardua
"Applied Evolutionary Algorithms for Engineers Using Python" was published by Taylor & Francis Group in 2021 - Boca Raton, it has 245 pages and the language of the book is English.
“Applied Evolutionary Algorithms for Engineers Using Python” Metadata:
- Title: ➤ Applied Evolutionary Algorithms for Engineers Using Python
- Author: Leonardo Azevedo Scardua
- Language: English
- Number of Pages: 245
- Publisher: Taylor & Francis Group
- Publish Date: 2021
- Publish Location: Boca Raton
“Applied Evolutionary Algorithms for Engineers Using Python” Subjects and Themes:
- Subjects: ➤ Evolutionary programming (Computer science) - Evolutionary computation - Genetic algorithms - Python (Computer program language) - Programmation évolutive - Réseaux neuronaux à structure évolutive - Algorithmes génétiques - Python (Langage de programmation) - COMPUTERS / Programming Languages / General - MATHEMATICS / Arithmetic - COMPUTERS / Programming Languages / Python
Edition Specifications:
- Pagination: 225
Edition Identifiers:
- The Open Library ID: OL34690292M - OL25265424W
- ISBN-13: 9780367263133
- All ISBNs: 9780367263133
AI-generated Review of “Applied Evolutionary Algorithms for Engineers Using Python”:
"Applied Evolutionary Algorithms for Engineers Using Python" Description:
Open Data:
"This book was written for students, scientists and engineers who need to apply evolutionary algorithms to practical optimization problems. The presentation of the theoretical background is complemented with didactical Python implementations of evolutionary algorithms that researchers have recently applied to complex optimization problems. Cases of successful application of evolutionary algorithms to real-world like optimization problems are presented, together with source code that allows the reader to gain insight into the idiosyncrasies of of the practical application of evolutionary algorithms"--
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