The main problem for both the utility companies and end-used is to efficiently schedule home appliances using energy management optimize consumption. microgrid, macro grid, Smart Grid (SG) are state-of-the-art technology that user environment-friendly, reliable, flexible, controllable. Both end-users interested in effectively utilizing different heuristic optimization techniques address demand-...

The widespread applicability of cyber-physical systems (CPS) necessitates efficient schemes to optimize the performance both computing units and physical plant. Task scheduling (TS) in CPS is vital importance enhance resource usage system efficiency. Traditional task schedulers embedded real-time are unable fulfill requirements because diversity heterogeneities. In this study, we designed a new...

Nowdays, energy consumption as a critical issue in distributed computing systems with high performance has become so green computing tries to energy consumption, carbon footprint and CO2 emissions in high performance computing systems (HPCs) such as clusters, Grid and Cloud that a large number of parallel. Reducing energy consumption for high end computing can bring various benefits such as red...

Reward-based scheduling has been investigated for flexible applications in which an approximate but timely result is acceptable. Meanwhile, significant research efforts have been made on voltage scheduling which exploits the tradeoff between the processor speed and the energy consumption. In this paper, we address the combined scheduling problem of maximizing the total reward of hard real-time ...

Simultaneous production planning and scheduling has been identified as one of the most important factors that affect the efficient implementation of planning and scheduling operations for the production systems. In this paper, simultaneous production planning and scheduling is applied in a hybrid flow shop environment, which has numerous applications in real industrial settings. In this problem...