Enhanced Artificial Fish Swarm Algorithm with Optimization and Visualization

This implementation employs an enhanced artificial fish swarm algorithm that has undergone optimization and provides visual representation of results. The algorithm incorporates novel search mechanisms that significantly improve search efficiency. The optimized version demonstrates superior adaptability to diverse problem domains, exhibiting enhanced convergence properties and solution accuracy when addressing complex optimization challenges. Through visualization of the algorithm's execution process and outcomes, users gain intuitive understanding of its operational principles, facilitating deeper analysis and further refinement. Key implementation aspects include adaptive step size control, dynamic visual field adjustments, and crowd factor optimization to prevent premature convergence. This enhanced artificial fish swarm algorithm holds broad application potential across various practical domains including optimization scheduling, path planning, and image processing tasks. The code structure features modular design with separate components for fish behavior simulation, fitness evaluation, and real-time visualization interfaces.