MATLAB Genetic Algorithm Toolbox and Applications

1. Attachment structure: gatbx.rar contains three components: (1) gatbx-origin.zip (2) gatbx-toolbox.rar (3) gatbx-example.rar. The debugging process was conducted using MATLAB version 6.5, with gatbx-toolbox serving as the primary genetic algorithm implementation package. While this toolbox has been shared by other researchers, this specific version addresses compilation errors that occurred in MATLAB 6.5. Implementation requires adding both the gatbx directory (containing core genetic algorithm functions like selection, crossover, and mutation operators) and gatbxTest_fns (test function suite) to MATLAB's path configuration. The gatbx-origin component represents the original Sheffield University genetic algorithm toolbox version, preserved without modifications for comparative analysis. Book reference: "MATLAB Genetic Algorithm Toolbox and Applications" by authors Lei Yingjie, Zhang Shanwen, Li Xuwu, and Zhou Chuangming, published by Xidian University Press. This book systematically introduces the functional characteristics, programming principles, and usage methods of MATLAB's genetic algorithm and direct search toolbox. The content is organized into 9 chapters covering fundamental genetic algorithm concepts, toolbox architecture, and practical implementation techniques. The publication includes case studies and practical application tips to help readers better understand and apply genetic algorithm optimization methods, featuring code examples demonstrating parameter configuration, fitness function design, and convergence analysis.