The optimization of industrial processes is a critical task for leveraging profitability and sustainability. To ensure the selection optimum process parameter levels in any process, numerous metaheuristic algorithms have been proposed so far. However, many are either computationally too expensive or become trapped pit local optima. counter these challenges, this paper, hybrid called PSO-GSA emp...

nowadays using of new energies in the form of dispersed resources in the worlds is wide spreading. in this article we will design a dispersed production source in the form of a solar/wind hybrid power plant in order to supply the energy of a residential unit according to a sample load pattern. the aim of aforementioned design is to reduce its costs in a period of 20 years. in order to optimi...

Due to its robust search mechanism, Gravitational algorithm (GSA) has achieved a lot of popularity in different research communities. However, stagnation reduces searchability towards global optima for rigid and complex multi-modal problems. This paper proposes GSA variant that incorporates chaos-embedded opposition-based learning into the basic stagnation-free search. Additionally, sine-cosine...