Abstract This study focused on energy saving in hub system using smart grid technologies and management of the demand. The two-layer is proposed for implementing saving. In first layer, demand such as electrical, thermal natural gas are optimized subject to optimal level at day-ahead. Then, applied second layer reduction generation costs. optimization approach done by shuffled frog leaping algo...

In this paper, the Shuffled Frog Leaping Algorithm is proposed to solve the Profit Based Unit Commitment problem under deregulated environment with emission limitation. The bi-objective function optimization problem is formulated as a maximization of the Generation Companies profit and a minimization of the emission output of the thermal units, while all of the constrains should be satisfied. T...

Ocean exploration is one of the fundamental issues for sustainable development human society, which also basis realizing concept Internet Underwater Things (IoUT) applications, such as smart ocean city. The collaboration heterogeneous autonomous marine vehicles (AMVs) based on underwater wireless communication known a practical approach to exploration, typically with surface vehicle (ASV) and g...

The COVID-19 pandemic and competitiveness pressure the pharmaceutical companies to acquire systems designed be as reliable possible. present paper aims optimize design of a plant through reliability allocation heterogeneous components under constraints. problem is solved by resorting three nature-inspired algorithms artificial intelligence (AI): grey wolf optimizer (GWO), shuffled frog-leaping ...