Ebook: Applied Evolutionary Algorithms for Engineers using Python
Author: Leonardo Azevedo Scardua
- Genre: Computers // Cybernetics: Artificial Intelligence
- Tags: Optimization, Python, Metaheuristics, Evolutionary algorithms
- Year: 2021
- Publisher: CRC Press
- Edition: 1
- Language: English
- pdf
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.
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.
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