Multi-Objective Artificial Bee Colony Algorithm

This documentation provides MATLAB code for the Multi-Objective Artificial Bee Colony (MOABC) algorithm, featuring user-friendly implementation that executes directly without additional configuration. The MOABC algorithm represents an advanced optimization technique specifically designed for problems involving multiple objective functions. The implementation includes core components such as employed bees, onlooker bees, and scout bees working collaboratively to explore Pareto-optimal solutions. Key functions handle population initialization, fitness evaluation, and solution archive maintenance using non-dominated sorting approaches. For researchers and engineers seeking effective multi-objective optimization solutions, this algorithm offers robust performance with adaptable parameters for constraint handling and convergence control. The modular code structure allows straightforward customization to accommodate specific application requirements, including objective function modifications and termination criteria adjustments.