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.

《工程师用Python应用进化算法》是为需要将进化算法应用于实际优化问题的学生、科学家和工程师而写。在介绍理论背景的同时，还介绍了研究人员最近应用于复杂优化问题的进化算法的Python教学实现。本书介绍了将进化算法成功应用于现实世界中类似优化问题的案例，并附有源代码，使读者能够深入了解进化算法实际应用的特异性。

主要特点

包括对进化算法范式的详细描述

在Python中提供了算法的教学实现，这是一种已被人工智能界广泛采用的编程语言。

讨论了进化算法在现实世界优化问题中的应用

介绍了将进化算法应用于复杂优化问题的成功案例，并附有辅助源代码。