AbstractAnt colony algorithm is a kind of simulation of collaborative optimization algorithm of ants foraging, imitating ants dependence information communication and social behavior, showing in the agents, on the basis of the definition of a greedy method under the guidance of the catalytic process guide each agent. Put forward improved ant colony algorithm is applied to power system of reactive power optimization, to IEEE14 node system by simulation calculation, the optimal scheme of reactive power compensation, the optimization design and improvement of ant colony algorithm of the optimization results can be more effectively at or near the optimal
Ants communicate information by leaving pheromone tracks. A moving ant leaves, in varying quantities...
Different Ants Colony Optimization (ACO) algorithms use pheromone information differently in an atte...
The application of advanced analytics in science and technology is rapidly expanding, and developing...
AbstractAnt colony algorithm is a kind of simulation of collaborative optimization algorithm of ants...
The paper presents an (ACSA) Ant colony search Algorithm for Optimal Reactive Power Optimization and...
Abstract:- The optimal reactive power dispatch (ORPD) problem is formulated as a combinatorial optim...
Author name used in this publication: S. L. HoAuthor name used in this publication: H. C. WongAuthor...
To maintain a power system within operation limits, a level ahead planning it is necessary to apply ...
Swarm intelligence is a relatively new approach to problem solving that takes inspiration from the s...
Managing resources in grid computing system is complicated due to the distributed and heterogeneous ...
Swarm intelligence is a relatively new approach to problem solving that takes inspiration from the s...
warm intelligence is a relative-ly new approach to problem solving that takes inspiration from the s...
Ant colony optimization (ACO) algorithms can be used to solve nondeterministic polynomial hard probl...
Successful applications coming from biologically inspired algorithm like Ant Colony Optimization (AC...
AbstractOptimization problem is one of the most challenging problems that has received considerable ...
Ants communicate information by leaving pheromone tracks. A moving ant leaves, in varying quantities...
Different Ants Colony Optimization (ACO) algorithms use pheromone information differently in an atte...
The application of advanced analytics in science and technology is rapidly expanding, and developing...
AbstractAnt colony algorithm is a kind of simulation of collaborative optimization algorithm of ants...
The paper presents an (ACSA) Ant colony search Algorithm for Optimal Reactive Power Optimization and...
Abstract:- The optimal reactive power dispatch (ORPD) problem is formulated as a combinatorial optim...
Author name used in this publication: S. L. HoAuthor name used in this publication: H. C. WongAuthor...
To maintain a power system within operation limits, a level ahead planning it is necessary to apply ...
Swarm intelligence is a relatively new approach to problem solving that takes inspiration from the s...
Managing resources in grid computing system is complicated due to the distributed and heterogeneous ...
Swarm intelligence is a relatively new approach to problem solving that takes inspiration from the s...
warm intelligence is a relative-ly new approach to problem solving that takes inspiration from the s...
Ant colony optimization (ACO) algorithms can be used to solve nondeterministic polynomial hard probl...
Successful applications coming from biologically inspired algorithm like Ant Colony Optimization (AC...
AbstractOptimization problem is one of the most challenging problems that has received considerable ...
Ants communicate information by leaving pheromone tracks. A moving ant leaves, in varying quantities...
Different Ants Colony Optimization (ACO) algorithms use pheromone information differently in an atte...
The application of advanced analytics in science and technology is rapidly expanding, and developing...