BODMA: A novel metaheuristic algorithm for binary optimization problems based on open source Development Model Algorithm

Open source Development Model Algorithm (ODMA) is one of the recently proposed heuristic algorithms that is inspired by open source software development mechanism and community's behaviors. The superior performance of this algorithm has been proven among the other most well-known algorithms such as genetic algorithm (GA) and particle swarm optimization (PSO). However, the original version of this algorithm is suitable for continuous problems, so it cannot be applied to binary problems directly. In this paper, a binary version of this algorithm is proposed. A comparative study with binary PSO and GA over 7 benchmark functions is conducted to draw a conclusion. The results prove that the proposed binary Open source Development Model Algorithm (BODMA) is able to significantly outperform others on majority of the benchmark functions.