Enhanced Cuckoo Search Algorithm – SDCS

In this article, we will discuss SDCS – an enhanced cuckoo search algorithm implemented in MATLAB. The key feature of the SDCS algorithm lies in its integration of the steepest descent method with the traditional cuckoo search (CS) approach, resulting in superior optimization performance. This hybrid algorithm demonstrates broad applicability across various domains, including but not limited to image processing, signal processing, and machine learning. By combining these two optimization techniques, SDCS achieves more efficient problem-solving capabilities and delivers improved results in practical applications. The implementation typically involves using MATLAB's optimization toolbox for gradient calculations in the steepest descent phase, while maintaining the Levy flight-based exploration mechanism from the original cuckoo search algorithm. The SDCS algorithm holds significant research value in current studies and is expected to create new development opportunities in related fields. Key implementation aspects include adaptive parameter tuning and hybrid convergence criteria that leverage both gradient information and stochastic optimization principles.