Genetic algorithms have been used in science and engineering as adaptive algorithms for solving practical problems and as computational models of natural evolutionary systems. This brief, accessible introduction describes some of the most interesting research in the field and also enables readers to implement and experiment with genetic algorithms on their own. It focuses in depth on a small set of important and interesting topics—particularly in machine learning, scientific modeling, and artificial life—and reviews a broad span of research, including the work of Mitchell and her colleagues.

遗传算法在科学和工程中被用作解决实际问题的自适应算法和自然进化系统的计算模型。这篇简短易懂的介绍介绍了该领域一些最有趣的研究，也使读者能够自己实现和实验遗传算法。它集中在一小部分重要和有趣的主题上，特别是在机器学习、科学建模和人工生命方面，并回顾了广泛的研究，包括米切尔和她的同事的工作。