Orangutan Optimization Algorithm: An Innovative Bio-Inspired Metaheuristic Approach for Solving Engineering Optimization Problems
International journal of intelligent engineering and systems · 2024
In this paper, a new metaheuristic algorithm called Orangutan Optimization Algorithm (OOA) is designed, which imitates the behaviors of Orangutans in nature.The fundamental inspiration of OOA is the foraging strategy of Orangutans and the skills of these animals in nesting.The theory of OOA is explained and then the implementation steps of OOA in two phases of exploration and exploitation are mathematically modeled.The performance of OOA in dealing with real-world applications is evaluated on twenty-two constrained optimization problems from the CEC 2011 test suite.The optimization results show that the proposed OOA approach, by balancing exploration and exploitation during the search process, is able to provide suitable solutions for the benchmark functions.Also, in order to measure the quality of OOA, the results obtained from the proposed approach are compared with twelve well-known metaheuristic algorithms.Analysis of the simulation results shows that OOA has provided superior performance by providing better results in 100% of the benchmark functions compared to competitor algorithms.