Reducts can be used to discern all discernible objects from the original information system. In order to find a reducts, a such applications of rough set uses a discernibility matrix. Ant Swarm Optimization Rough Reducts (ASORR) algorithm is used in rough reducts calculation for identifying significant attribute set optimally. For the complex matrix calculation in a single cpu, it will take a long computing time to build the discernibility matrix whereas the execution time of an algorithm is needed to be considered. This paper proposed an parallel approach to accelerate the execution time of ASORR algorithm which is utilizing GPGPU that supports high speed parallel computing. It will be implemented with CUDA from NVIDIA. The experiment r...
Abstract—Many general-purpose applications exploit Graphics Processing Units (GPUs) by executing a s...
Abstract—In order to solve efficiency of maze optimal path problem based on ant colony algorithm, we...
Ant Colony Optimisation (ACO) is an effective population-based meta-heuristic for the solution of a ...
Reducts can be used to discern all discernible objects from the original information system. In orde...
Graphics Processors Units (GPU) is becoming more popular among other application developers as data ...
© 2018 This paper investigates the use of GPU (Graphics Processing Unit) in improving the bees swarm...
Particle Swarm Optimization is robust and effective method to solve optimization problems. Particle ...
Swarm intelligence algorithms have been widely used to solve difficult real world problems in both a...
This thesis deals with a population based stochastic optimization technique PSO (Particle Swarm Opti...
Since few years ago, the parallel processing has been embedded in personal computers by including co...
We present GPU implementations of two different nature-inspired optimization methods for well-known ...
This paper describes our latest implementation of Particle Swarm Optimization (PSO) with simple ring...
Inspired by the collective behavior of natural swarm, swarm intelligence algorithms (SIAs) have been...
In 2006 NVIDIA introduced a new unified GPU architecture facilitating general-purpose computation on...
Thesis deals with discrete optimization problems. It focusses on faster ways to find good solutions ...
Abstract—Many general-purpose applications exploit Graphics Processing Units (GPUs) by executing a s...
Abstract—In order to solve efficiency of maze optimal path problem based on ant colony algorithm, we...
Ant Colony Optimisation (ACO) is an effective population-based meta-heuristic for the solution of a ...
Reducts can be used to discern all discernible objects from the original information system. In orde...
Graphics Processors Units (GPU) is becoming more popular among other application developers as data ...
© 2018 This paper investigates the use of GPU (Graphics Processing Unit) in improving the bees swarm...
Particle Swarm Optimization is robust and effective method to solve optimization problems. Particle ...
Swarm intelligence algorithms have been widely used to solve difficult real world problems in both a...
This thesis deals with a population based stochastic optimization technique PSO (Particle Swarm Opti...
Since few years ago, the parallel processing has been embedded in personal computers by including co...
We present GPU implementations of two different nature-inspired optimization methods for well-known ...
This paper describes our latest implementation of Particle Swarm Optimization (PSO) with simple ring...
Inspired by the collective behavior of natural swarm, swarm intelligence algorithms (SIAs) have been...
In 2006 NVIDIA introduced a new unified GPU architecture facilitating general-purpose computation on...
Thesis deals with discrete optimization problems. It focusses on faster ways to find good solutions ...
Abstract—Many general-purpose applications exploit Graphics Processing Units (GPUs) by executing a s...
Abstract—In order to solve efficiency of maze optimal path problem based on ant colony algorithm, we...
Ant Colony Optimisation (ACO) is an effective population-based meta-heuristic for the solution of a ...
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