 This article proposes a new metaheuristic algorithm called Mother Optimization Algorithm MOA. It is inspired by the way a mother cares for her children which consists of three phases, education, advice and upbringing. The mathematical model of MOA is used in the search process and exploration. The performance of MOA is evaluated on a set of benchmark functions including unimodal and high-dimensional multimodal functions, fixed-dimensional multimodal functions and the CEC 2017 test suite. The results demonstrate that MOA outperforms other metaheuristics with superior and significantly more competitive performance. Additionally, the algorithm is applied to four engineering design problems, showing its efficacy in solving real world optimization problems. Statistical analysis shows that MOA has a significant statistical superiority over other well-known metaheuristics. This article was authored by Ivana Matuava, Pavel Trijovsky, Mohamed Deghani and others.