Improved Adaptive Komodo Mlipir Algorithm

In order to improve the global search performance of Komodo Mlipir Algorithm, this paper proposed two adaptive Algorithms with variable fixed parameters (IKMA-1; IKMA-2). Among them, IKMA-1 adaptively controls parthenogenesis radius female dragons achieve more efficient conversion and local search. Second, IKMA-2 introduces weighting factors “mlipir” movement formula performance. Both were tested on 23 benchmark functions in CEC2013 compared other seven optimization algorithms. The Wilcoxon rank-sum test Friedman rank used compare different Furthermore, are applied constrained engineering problems verify applicability improved algorithm. results show that both have better convergence accuracy than initial KMA. terms function simulation results, improves by 17.58% KMA; 10.99%. algorithms for problems, outperforms IKMA-1.