Evolutionary computation tools are able to process real valued numerical sets in order to extract suboptimal solution of designed problem. Data clustering algorithms have been intensively used for image segmentation in remote sensing applications. Despite of wide usage of evolutionary algorithms on data clustering, their clustering performances have been scarcely studied by using clustering val...

A new Meta heuristic approach called ”Randomized gravitational emulation search algorithm (RGES)” for solving vertex covering problems has been designed. This algorithm is found upon introducing randomization concept along with the two of the four primary parameters ’velocity’ and ’gravity’ in physics. A new heuristic operator is introduced in the domain of RGES to maintain feasibility specific...

A new Meta heuristic approach called ”Randomized gravitational emulation search algorithm (RGES)” for solving large size set covering problems has been designed. This algorithm is found upon introducing randomization concept along with the two of the four primary parameters ’velocity’ and ’gravity’ in physics. A new heuristic operator is introduced in the domain of RGES to maintain feasibility ...

The development of electricity networks towards the future smart grids is naturally accompanied by increasing complexity of technical, economic and environmental problems. The new challenges require the development of new techniques and optimization methods, including specific approaches to multiobjective optimization problems. This paper focuses on basic and multiobjective optimization methods...

clustering is an effective approach for managing nodes in wireless sensor network (wsn). a new method of clustering mechanism with using binary gravitational search algorithm (bgsa) in wsn, is proposed in this paper to improve the energy consumption of the sensor nodes.reducing the energy consumption of sensors in wsnsis the objective of this paper that is through selecting thesub optimum senso...

the capacitated vehicle routing problem (cvrp) is a well-known combinatorial optimization problem that holds a central place in logistics management. the vehicle routing is an applied task in the industrial transportation for which an optimal solution will lead us to better services, save more time and ultimately increase in customer satisfaction. this problem is classified into np-hard problem...

one of the major problems that may occur in the differential protection systems of power transformers is mal-operation of the protection relays in sake of internal fault detection, because of similarity between this current and inrush current. this paper presents a novel approach for discriminating inrush current from internal fault in power transformers based on improved gravitational search a...

Cloud computing has emerged as a novel technology that offers convenient and cost-effective access to scalable pool of resources over the internet. Task scheduling plays crucial role in optimizing functionality cloud services. However, inefficient practices can result resource wastage or decline service quality due under- overloaded resources. To address this challenge, research paper introduce...