in this paper, we have proposed a new algorithm which combines pso and ga in such a way that the new algorithm is more effective and efficient.the particle swarm optimization (pso) algorithm has shown rapid convergence during the initial stages of a global search but around global optimum, the search process will become very slow. on the other hand, genetic algorithm is very sensitive to the in...

This paper considers the scheduling problem of parallel batch processing machines with non-identical job size and processing time. In this paper, a new mathematical model with ready time and batch size constraints is presented to formulate the problem mathematically, in which simultaneous reduction of the makespan and earliness-tardiness is the objective function. In recent years, the nature-in...

Applications based on Wireless Sensor Networks (WSN) have shown to be quite useful in monitoring a particular geographic area of interest. Relevant geometries the surrounding environment are essential establish successful WSN topology. But it is literally hard because constructing localization algorithm that tracks exact location Nodes (SN) always challenging task. In this research paper, Dista...

This research proposes an efficient energy management system for standalone and grid-connected direct current (DC) distribution networks that consider photovoltaic (PV) generation sources. A complete nonlinear programming model is formulated to represent the PV dispatch problem while taking three different objective functions into account. The first function corresponds minimization of operatio...

This paper studies the problem regarding optimal power dispatch of photovoltaic (PV) distributed generators (DGs) in Direct Current (DC) grid-connected and standalone networks. The mathematical model employed considers reduction operating costs, energy losses, CO2 emissions as objective functions, it integrates all technical constraints implied by DC grids a scenario variable PV generation dema...

The early diagnosis of diabetes helps in avoiding the major risks associated with disorder. proposed research involves design a machine learning pipeline which generates most representative feature subset minimal size that predicts onset Diabetes highest accuracy. It employs novel dataset is gender-neutral and enough unlike well-known PID dataset. pipelines involve multiple engineering to gener...

Monitoring the water contaminants is of utmost importance in resource management. Prediction total dissolved solid (TDS) particularly essential for quality management and planning areas exposed to a mixture pollutants. TDS primarily includes inorganic minerals organic matters, various salts increasing concentration causes esthetic problems. The reflection pollutant burden aquatic system can rem...

We present a new algorithm obtained by changing the search directions in the algorithm given in [8]. This algorithm is based on a new technique for finding the search direction and the strategy of the central path. At each iteration, we use only the full Nesterov-Todd (NT)step. Moreover, we obtain the currently best known iteration bound for the infeasible interior-point algorithms with full NT...