Multiobjective (MO) optimization is an emerging field which is increasingly being encountered in many fields globally. Various metaheuristic techniques such as differential evolution (DE), genetic algorithm (GA), gravitational search algorithm (GSA), and particle swarm optimization (PSO) have been used in conjunction with scalarization techniques such as weighted sum approach and the normal-bou...

This paper presents a new method to optimize locating and the size of fixed and switching capacitor banks based on Gravitational Search Algorithm (GSA). The algorithm is proposed for radial and meshed networks in the presence of unbalanced and nonlinear loads. The objective function considers the minimization of the total energy loss costs and capacitor installation cost, network total harmonic...

This paper proposes a hybrid Dragonfly Algorithm (DA) for training Multi-Layer Perceptron Neural Network (MLP NN) to design the classifier solving complicated problems and distinguishing real target from liars’ targets in sonar applications. Due improve cost computation reducing waste of time, modified low-cost DA is designed evaluation. To assess accuracy technique, some well-known meta-heuris...

2 Professor, Electrical Engineering, (India) ABSTRACT The power distributed into the network has losses, which is greater in distribution system compared to transmission system. Capacitors have been employed to provide reactive power compensation in distribution systems to resolve this problem. These are used to reduce power losses and to maintain the voltage profile within acceptable limits. T...

Solving the economic and emission dispatch (ED/MED) problems separately becomes more complex when the combined version (CEED) of the two aforementioned cases is considered. The basic idea is to achieve the lowest possible cost with the smallest amount of pollutant and this problem is known as the combined economic–emission dispatch (CEED). A new approach for solving the CEED is presented in thi...

Speech quality significantly affects the performance of speech dependent systems. Noise in background lowers clarity and intelligibility speech. The augmentation can increase its quality. We propose a single-channel improvement framework that combines particle swarm optimization (PSO), gravitational search algorithm (GSA), harmonic regeneration noise reduction (HRNR) to minimize signal intellig...

The aim of this research is to evaluate the performance of OLSR using swarm intelligence and HPSO with Gravitational search algorithm to lower the jitter time, data drop and end to end delay and improve the network throughput. Simulation was carried out for multimedia traffic and video streamed network traffic using OPNET Simulator. Routing is exchanging of information from one host to another ...

Voltage stability analysis based on the number of limit violating buses apart from considering the voltage magnitude violations using several severity functions is performed in this work. Deviating from existing works in literature, the double line contingency is considered based on the three types of severity functions: discrete, continuous and percentage of violation severity functions. The s...

In electric power systems, finding optimal location and setting of flexible AC transmission system (FACTS) devices represents a difficult optimisation problem. This is due to its discrete, multi-objective, multimodal and constrained nature. Finding near-global solutions in such a problem is very demanding. Brainstorm optimisation algorithm (BSOA) is a novel promising heuristic optimisation algo...