Artificial Bee Colony Algorithm MATLAB Toolbox

The Artificial Bee Colony Algorithm MATLAB Toolbox serves as a highly practical resource that incorporates not only essential optimization test functions but also numerous additional features and modules. This toolbox enables users to solve various complex optimization problems, significantly enhancing work efficiency and solution accuracy. Suitable for both beginners and professionals, it offers an intuitive user interface accompanied by detailed documentation for seamless adoption and full utilization of its capabilities. The implementation includes key algorithmic components such as employed bee phase, onlooker bee selection mechanisms, and scout bee regeneration processes, with modular functions for parameter initialization, fitness evaluation, and solution update operations. In both academic research and engineering applications, this toolbox proves indispensable, providing limitless possibilities for optimization tasks through its well-structured code architecture and customizable algorithm parameters.