Ant Colony Optimization is a probabilistic technique for finding the optimal path for reaching a destination using graphs. This algorithm was further developed to introduce the concept of Multiple Ant Colony Optimization technique in which ants were classified into various families that worked to provide optimal path solutions to the destination for their own family. This paper aims at proposin...

This paper presents an efficient algorithm for the loss minimization by automatic sectionalizing switch operation in distribution systems. Ant colony algorithm is a multi-agent system in which the behaviour of each single agent, called artificial ant, is inspired by the behaviour of real ants. Ant colony algorithm is suitable for combinatorial optimization. The proposed methodology with some mo...

This paper introduces the wireless sensor network routing protocol and its security, and introduces the main several kinds of routing protocols, including the data centric routing protocol, hierarchical routing protocols and location-based routing protocol, finally according to the analysis of routing protocol common attack method. Ant colony algorithm is a distributed parallel algorithm. A sin...

Research in software testing has experienced a significant growth in recent years. One topic of special interest is fault detection techniques to reduce human interference and detect maximum faults. Priority is given to these techniques so that only higher priority techniques should be used instead of using individual techniques of lower priority. Bee Colony Optimization based upon natural phen...

Optimization algorithms inspired by the ants’ foraging behavior have been initially used for solving combinatorial optimization problems. Since the emergence of ant algorithms as an optimization tool, some attempts were also made to use them for tackling continuous optimization problems. In recent years, the investigation of synchronization and control problem for discrete chaotic systems has a...

This paper illustrates first approach to solve linear system of equations by using Ant Colony Optimization (ACO). ACO is multi-agent heuristic algorithm working in continuous domains. The main task is checking efficiency of this method in several examples and discussion about results. There will be also presented future possibilities regarding researches.

The edges of an image define the image boundary. When the image is noisy, it does not become easy to identify the edges. Therefore, a method requests to be developed that can identify edges clearly in a noisy image. Many methods have been proposed earlier using filters, transforms and wavelets with Ant colony optimization (ACO) that detect edges. We here used ACO for edge detection of noisy ima...

This paper is based on an ant colony optimization algorithm (ASDR) for solving FPGA routing for a route based routing constraint model in FPGA design architecture. I n this approach FPGA routing task is transformed into a Boolean Satisfiabilty (SAT) equation with the property that any assignment of input variables that satisfies the equation specifies a v alid route. The Satisfiability equation...

Interaction between users in online social networks plays a key role in social network analysis. One on important types of social group is full connected relation between some users, which known as clique structure. Therefore finding a maximum clique is essential for some analysis. In this paper, we proposed a new method using ant colony optimization algorithm and particle swarm optimization al...

In this paper, a novel approach for the estimation of global solar irradiance is proposed based on a combination of empirical correlation and ant colony optimization. Empirical correlation has been used to estimate monthly average of daily global solar irradiance on a horizontal surface. The Ant Colony Optimization (ACO) algorithm has been applied as a swarm-intelligence technique to tune the c...