Implementing probabilistic SSPCO Algorithm Using a few Simulation models for the Optimization Mechanism

Today's optimization is one of the most used areas in various sciences. Different algorithms are proposed to solve these problems. The SSPCO algorithm is one of the newest optimization algorithms. Simulation algorithms also have many challenges that are important in providing algorithms. Simulation is a tool to provide the real-world for applying the optimization algorithm. Meta-models are approaches to deal with simulation problems including heavy load of calculations and scalable runtime. Meta-model encounters some problems itself such as making the simulation model far away from its real-world. SSPCO Algorithm is one of the newest meta-heuristic optimization algorithms which model the behavior of partridge-bird chickens. In this paper, we tried to remove the meta-model as well as reducing the time to reach the optimal solution using SSPCO Algorithm. Simulation results which are presented in four ways of running the algorithm show that the simulation new methods could reduce the runtime by removing meta-model.