Various ranging techniques are frequently employed in wireless sensor networks (WSNs) to determine the distance between a node and its neighboring anchor nodes. The measurement, as mentioned earlier is subsequently estimate location of whose unknown. present paper presents an Accurate Localization Scheme that utilizes Grey Wolf Optimization (GWO) based on Radio Signal Strength (RSS) technique. ...

State estimate serves a crucial purpose in the control centre of modern power system. Voltage phasor buses such configurations is referred to as state variables that should be determined during operation. A precise estimation needed define optimal operation all components. So many mathematical and heuristic techniques can used achieve aforementioned objective. An enhanced system estimator built...

Feature selection is a widely utilized technique in educational data mining that aims to simplify and reduce the computational burden associated with analysis. However, previous studies have overlooked high costs involved acquiring certain types of data. In this study, we investigate application multi-objective gray wolf optimizer (GWO) cost-sensitive feature predict students’ academic performa...

Real World is filled with various hard and complex problems. One such complex problem is an optimization problem. Optimization has been an active area of research for several decades. . Optimized solutions are hard to find so there are no deterministic algorithms that can find exact solution in polynomial time. In large domain of applications of intelligence techniques we are interested in expl...

Hybridization of two or more variants algorithms is the recent trend research field. With help a hybridized algorithm we try to find out better optimal solution and solve various optimization applications. In this paper, new approach Advancement on Grey Wolf Optimization with Fitness Based Self Adaptive Differential Evolution (AGWO-FSADE) proposed. populations are calculated using self adaptive...