Applied Evolutionary Algorithms for Engineers using Python

Applied Evolutionary Algorithms for Engineers using Python
Author :
Publisher : CRC Press
Total Pages : 225
Release :
ISBN-10 : 9781000349801
ISBN-13 : 1000349802
Rating : 4/5 (01 Downloads)

Book Synopsis Applied Evolutionary Algorithms for Engineers using Python by : Leonardo Azevedo Scardua

Download or read book Applied Evolutionary Algorithms for Engineers using Python written by Leonardo Azevedo Scardua and published by CRC Press. This book was released on 2021-06-15 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Evolutionary Algorithms for Engineers with Python is 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 the practical application of evolutionary algorithms. Key Features Includes detailed descriptions of evolutionary algorithm paradigms Provides didactic implementations of the algorithms in Python, a programming language that has been widely adopted by the AI community Discusses the application of evolutionary algorithms to real-world optimization problems Presents successful cases of the application of evolutionary algorithms to complex optimization problems, with auxiliary source code.


Applied Evolutionary Algorithms for Engineers using Python Related Books

Applied Evolutionary Algorithms for Engineers using Python
Language: en
Pages: 225
Authors: Leonardo Azevedo Scardua
Categories: Computers
Type: BOOK - Published: 2021-06-15 - Publisher: CRC Press

DOWNLOAD EBOOK

Applied Evolutionary Algorithms for Engineers with Python is written for students, scientists and engineers who need to apply evolutionary algorithms to practic
Introduction to Evolutionary Algorithms
Language: en
Pages: 427
Authors: Xinjie Yu
Categories: Computers
Type: BOOK - Published: 2010-06-10 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Evolutionary algorithms are becoming increasingly attractive across various disciplines, such as operations research, computer science, industrial engineering,
Introduction to Optimum Design
Language: en
Pages: 1121
Authors: Jasbir Singh Arora
Categories: Technology & Engineering
Type: BOOK - Published: 2023-11-15 - Publisher: Elsevier

DOWNLOAD EBOOK

Introduction to Optimum Design, Fifth Edition is the most widely used textbook in engineering optimization and optimum design courses. It is intended for use in
Learning Genetic Algorithms with Python
Language: en
Pages: 330
Authors: Ivan Gridin
Categories: Computers
Type: BOOK - Published: 2021-02-13 - Publisher: BPB Publications

DOWNLOAD EBOOK

Refuel your AI Models and ML applications with High-Quality Optimization and Search Solutions DESCRIPTION Genetic algorithms are one of the most straightforward
Meta-heuristic and Evolutionary Algorithms for Engineering Optimization
Language: en
Pages: 306
Authors: Omid Bozorg-Haddad
Categories: Mathematics
Type: BOOK - Published: 2017-10-09 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

A detailed review of a wide range of meta-heuristic and evolutionary algorithms in a systematic manner and how they relate to engineering optimization problems