Cuckoo Search (CS) Algorithm: Implementation and Optimization Principles
Cuckoo Search (CS), also known as Cuckoo Optimization Algorithm, is an emerging metaheuristic algorithm proposed by Professor Xin-She Yang of Cambridge University and S. Deb in 2009. The algorithm efficiently solves optimization problems by simulating brood parasitism behavior of cuckoo species, combined with Levy flight search mechanisms. Research demonstrates CS outperforms other swarm intelligence algorithms in convergence speed and solution accuracy, making it suitable for complex engineering optimization tasks.