Makeup Artist Optimization Algorithm: A Novel Approach for Engineering Design Challenges

In this paper, a novel human-based metaheuristic algorithm named Makeup Artist Optimization Algorithm (MAOA) is introduced to solve optimization problems.The main idea in designing MAOA is derived from the human behavior of makeup artists in applying makeup to actors.The theory of MAOA is stated and then mathematically modeled in two phases (i) exploration based on simulating the initial makeup of actors and (ii) exploitation based on simulating the fine details of makeup on actors' faces.The ability of MAOA to handle real-world applications is evaluated on twenty-two constrained optimization problems from the CEC 2011 test suite.The optimization results show that MAOA has an effective performance for optimizing real-world applications.Furthermore, the comparison of the obtained results with twelve competing algorithms shows that MAOA has superior performance in handling the CEC 2011 test suite by achieving better results.