The use of floating-point numbers inevitably leads to inaccurate results and, in certain cases, significant program failures. Detecting floating-point errors is critical to ensuring that floating-point programs outputs are proper. However, due to the sparsity of floating-point errors, only a limited number of inputs can cause significant floating-point errors, and determining how to detect these inputs and to selecting the appropriate search technique is critical to detecting significant errors. This paper proposes characteristic particle swarm optimization (CPSO) algorithm based on particle swarm optimization (PSO) algorithm. The floating-point expression error detection tool PSOED is implemented, which can detect significant errors in flo...
In this paper, we choose to compare four methods for controlling particle position when it violates ...
With the development of computer technology, more and more intelligent algorithms in the solution of...
Particle swarm optimization (PSO) guides its search direction by a linear learning strategy, in whic...
It is well-known that using floating-point numbers may inevitably result in inaccurate results and s...
Abstract—It is well-known that using floating-point numbers may inevitably result in inaccurate resu...
This paper tackles the important, difficult problem of detecting program inputs that trigger large f...
pre-printTools for floating-point error estimation are fundamental to program understanding and opti...
D. Tech. Electrical Engineering.Particle Swarm Optimisation (PSO) is based on a metaphor of social i...
AbstractPattern mining has always attracted a huge attention for generation of large amount of patte...
The numerical results of the proposed algorithm and the eight particle swarm family algorithms are g...
In a large dataset, data mining is a solution to arrange new models into useful information. T...
Particle SwarmOptimization (PSO) algorithm is a new swarm intelligence optimization technique, becau...
Abstract This paper presents use of Particle Swarm Optimization (PSO) algorithm introduced by Kenned...
The particle swarm optimization (PSO) algorithm has been the object of many studies and modification...
Gross errors, a kind of non-random error caused by process disturbances or leaks, can make reconcile...
In this paper, we choose to compare four methods for controlling particle position when it violates ...
With the development of computer technology, more and more intelligent algorithms in the solution of...
Particle swarm optimization (PSO) guides its search direction by a linear learning strategy, in whic...
It is well-known that using floating-point numbers may inevitably result in inaccurate results and s...
Abstract—It is well-known that using floating-point numbers may inevitably result in inaccurate resu...
This paper tackles the important, difficult problem of detecting program inputs that trigger large f...
pre-printTools for floating-point error estimation are fundamental to program understanding and opti...
D. Tech. Electrical Engineering.Particle Swarm Optimisation (PSO) is based on a metaphor of social i...
AbstractPattern mining has always attracted a huge attention for generation of large amount of patte...
The numerical results of the proposed algorithm and the eight particle swarm family algorithms are g...
In a large dataset, data mining is a solution to arrange new models into useful information. T...
Particle SwarmOptimization (PSO) algorithm is a new swarm intelligence optimization technique, becau...
Abstract This paper presents use of Particle Swarm Optimization (PSO) algorithm introduced by Kenned...
The particle swarm optimization (PSO) algorithm has been the object of many studies and modification...
Gross errors, a kind of non-random error caused by process disturbances or leaks, can make reconcile...
In this paper, we choose to compare four methods for controlling particle position when it violates ...
With the development of computer technology, more and more intelligent algorithms in the solution of...
Particle swarm optimization (PSO) guides its search direction by a linear learning strategy, in whic...