Non-numeric Parallel Algorithms (Volume 2): Genetic Algorithms (This book is available for reference for teachers and students of relevant majors in universities, scientific and technical personnel, and engineering technical personnel.)

Author: Liu Yong
Publisher:
Publish Date: 2003-05-01
Features: This book systematically describes the basic principles and latest advancements of one of the non-numeric parallel algorithms, the genetic algorithm. To facilitate readers in solving practical problems, the book provides detailed explanations of the steps of specific algorithms. The book is divided into seven chapters. Chapter 1 introduces the concept, characteristics, development process, and prospects of the algorithm. Chapter 2 covers the fundamental theory of the algorithm. Chapter 3 discusses the application of the algorithm in solving continuous optimization problems. Chapter 4 explores the design and optimization of neural networks using the algorithm. Chapter 5 presents the application of the algorithm in combinatorial optimization. Chapter 6 introduces the use of genetic programming to address automated programming problems. Chapter 7 compares genetic algorithms with other adaptive algorithms.