Abstract Recently, renewable energy participation is gaining importance in the existing power system. However, large penetration of these sources into system network may cause an imbalance supply and demand response. Unit commitment decision-making process which generating units are turned ON OFF at hourly interval as per load under certain constraints to provide economic scheduling. Thus, adva...

the growth in demand for electric power and the rapid increase in fuel costs, in whole of theworld need to discover new energy resources for electricity production. among of the nonconventionalresources, wind and solar energy, is known as the most promising deviceselectricity production in the future. in this thesis, we study follows to long-term generationscheduling of power systems in the pre...

Due to the complexity of scheduling flexible manufacturing systems, the generation of production schedules requires an intelligent technique. Many artificial intelligence techniques such as fuzzy logic, genetic algorithms and neural networks have been successfully applied to the scheduling of advanced manufacturing systems. One such system is Robotic Flexible Assembly Cells (RFACs). Few studies...

In this paper, we introduce the concept of the derivative of sequence of numbers and define new statistical indices by which we discoverd new properties of randomly generated number sequences. We also build a test for pseudo random generators based on these properties and use it to confirm the weakness of RC4 key scheduling algorithm that has been reported in the litterature. In this rescpect w...

Some engineering optimization problems, such as multi-objective daily generation scheduling for the hydropower stations, the objective functions has obvious hierarchy and priority, simultaneously, the constraints is very complex. It is difficult to solve the operation problems by adopting traditional optimal technique. In this paper, a new particle swarm optimization algorithm solving hierarchy...