Genetic algorithms and engineering optimization

Author: Cheng Runwei
Publisher:
Publish Date: 2004-01-01
Features: This book is suitable for senior undergraduate students, graduate students, teachers, and researchers in relevant fields of higher education institutions or research institutions. It summarizes the cutting-edge advancements in the application of genetic algorithms in industrial engineering-related fields. The book is divided into 9 chapters: Fundamentals of Genetic Algorithms, Combinatorial Optimization Problems, Multi-Objective Optimization Problems, Fuzzy Optimization Problems, Reliability Design Problems, Scheduling Problems, Advanced Transportation Problems, Network Design and Path Problems, and Manufacturing Meta-Design Problems. The content covers both the latest developments of genetic algorithms in traditional optimization problems and currently popular topics in supply chain and logistics research. The book is rigorous yet accessible, with numerous diagrams and tables to facilitate readers' in-depth understanding of the material.