Microgrids are a type of restricted power distribution systems in which electricity is generated, transmitted, and distributed within small geographic region. They used to ensure that renewable energy sources their full potential. provide further benefits, such as lowering transmission losses the expenses associated with them. This research compares contrasts aims economic dispatch, emission fr...

ant colony optimisation (aco) algorithm and adaptive refinement mechanism are used in this paper for solution of optimization problems. many of the real engineering problems are، however، of continuous nature and finding their solution by discrete ant based algorithms requires discretisation of the decision variables in which affected the convergence and performance of the algorithm. in this pa...

this paper deals with volume fraction optimization of functionally graded (fg) beams resting on elastic foundation for maximizing the first natural frequency. the two-constituent functionally graded beam consists of ceramic and metal. these constituents are graded through the thickness of beam according to a generalized power-law distribution. one of the advantages of using generalized power- l...

In recent times, sentiment analysis research has gained wide popularity. That situation causes the importance of online applications that allow users to express their opinions on events, services, or products through social media such as Twitter, Facebook, and Amazon. This paper proposes a novel classification method according fuzzy rule-based system (FRBS) with crow search algorithm (CSA). FRB...

in this paper, we have outlined the surrogate management framework for optimization of expensive functions. an initial simple iterative method which we call the “strawman” method illustrates how surrogates can be incorporated into optimization to stand in for the most expensive function. these ideas are made rigorous by incorporating them into the framework of pattern search methods. the smf al...

this paper presents a new hybrid method for optimal multi-objective reconfiguration in a distribution feeder in addition to determining the optimal size and location of multiple-distributed generation (dg). the purposes of this research are mitigation of losses, improving the voltage profile and equalizing the feeder load balancing in distribution systems. to reduce the search space, the improv...

This study presents a master–slave methodology to solve the problem of optimally locating and sizing photovoltaic (PV) generation units in electrical networks. is represented by means Mixed-Integer Nonlinear Programming (MINLP) model, whose objective function reduce total annual operating costs network for 20-year planning period. Such include (i) purchasing energy at conventional generators (t...