Debris flow is one of the major threats for the sustainability of environmental and social development. The velocity directly determines the impact on the vulnerability. This study focuses on an approach using radial basis function (RBF) neural network and gravitational search algorithm (GSA) for predicting debris flow velocity. A total of 50 debris flow events were investigated in the Jiangjia...

A novel optimization concept for modeling irregular-shaped patch antenna with high bandwidth and efficient radiation attributes is proposed in this paper, along the ability to accomplish design at a reduced computational cost burden. revolutionary computing perception established Gravitational Search Algorithm (GSA) Quantum Based Delta Particle Swarm Optimization (QPSO), now known as GSA-QPSO. ...

In the present scenario of the power system the main issue is the voltage stability enhancement which plays an important role in the complex network. This paper introduces the forthcoming technology employing the integration of Flexible AC transmission System (FACTS) device in to the system. Betwixt of all the FACTS devices this paper mainly rivet on Unified Power Flow Controller (UPFC). This i...

In the current power system much concentration is given to the efficient transmission of power from generator side to load end with minimum power loss. To achieve this, the newly introduced FACTS technology is being used. FACTS device such as STATCOM (static synchronous compensator) is used in this paper, for the efficient power transfer between transmission lines. To enhance the loadability of...

This paper focuses on expanding and evaluating an automatic generation control (AGC) system of a hydrothermal system by modelling the appropriate generation rate constraints to operate practically in an economic manner. The hydro area is considered with an electric governor and the thermal area is modelled with a reheat turbine. Furthermore, the integral controllers and electri...

In this chapter, Gravitational Search Algorithm (GSA) and Particle Swarm Optimization (PSO) technique were applied for intelligent allocation of energy to the Plug-in Hybrid Electric Vehicles (PHEVs). Considering constraints such as energy price, remaining battery capacity, and remaining charging time, they optimized the State-of-Charge (SoC), a key performance indicator in hybrid electric vehi...

Gravitational search algorithm (GSA) has been successfully applied to many scientific and engineering applications in the past few years. In the original GSA and most of its variants, every agent learns from all the agents stored in the same elite group, namely K best . This type of learning strategy is in nature a fully-informed learning strategy, in which every agent has exactly the same glob...

Predicting disease is usually done based on the experience and knowledge of doctor. Diagnosis such a traditionally less effective. The development medical diagnosis machine learning in terms prediction provides more accurate than traditional way. In predicting can use artificial neural networks. network consists various algorithms, one which Backpropagation Algorithm. this paper it proposed tha...

The satellites scheduling mission play an effective role in enhancing the of ground station control and monitoring systems. In this search, SGSEO is re-formulated into a multi-objective optimization task. Therefore, Gravitational Search Algorithm GSA exploited to attain several essential objectives for generating tight scheduling. Moreover, particle swarm model PSO consolidated with novel form ...