نتایج جستجو برای: ant colony optimization algorithm

تعداد نتایج: 1023213  

2009
Husna Jamal Abdul Nasir Ku Ruhana Ku-Mahamud

A hybrid ant colony optimization technique to solve the stagnation problem in grid computing is proposed in this paper. The proposed algorithm combines the techniques from Ant Colony System and Max – Min Ant System and focused on local pheromone trail update and trail limit. The agent concept is also integrated in this proposed technique for the purpose of updating the grid resource table. This...

2010
S. Venkatesan

Over the last Twenty years, several different techniques have been proposed for computer recognition of human faces. The localization of human faces in digital images is a fundamental step in the process of face recognition. In this paper, a Hybrid algorithm is proposed to detect faces using Ant Colony Optimization and Genetic programming algorithms. Evolutionary process of Ant Colony Optimizat...

2006
Georgios Kouzas Eleftherios Kayafas Vassili Loumos

In this paper, a web search algorithm is proposed, which aims to enhance the amount of the relevant information in respect to a user’s query. The proposed algorithm is based on the Ant Colony Optimization algorithm (ACO), employing in parallel document similarity issues from the field of information retrieval. Ant Colony Optimization algorithms were inspired through the observation of ant colon...

2015
Namrata Goswami Kunjal Garala Prashant Maheta

Cloud Computing is growing rapidly and clients are demanding more services with better results. Therefore, load balancing as well as task scheduling in the Cloud has become a very interesting and important research area. In this paper, we present proposed approach for improving parameters in ant colonies function. The suggested definition of a new computational paradigm, is called Ant Colony Op...

Journal: :IEEE Transactions on Evolutionary Computation 2002

2013
Divya M

Ant Colony Optimization (ACO) is a meta-heuristic iterative algorithm used to solve different combinatorial optimization problems. In this method, a number of artificial ants build solutions for an optimization problem and exchange information on their quality through a communication scheme that is similar to the one adopted by real ants. In this paper, Ant Colony Optimization is used to solve ...

2015
K. Geetha

Nature is the immense gifted source for solving complex problems. It always helps to find the optimal solution to solve the problem. Mobile Ad Hoc NETwork (MANET) is a wide research area of networks which has set of independent nodes. The characteristics involved in MANET’s are Dynamic, does not depend on any fixed infrastructure or centralized networks, High mobility. The Bio-Inspired algorith...

Journal: :BEST : Journal of Applied Electrical, Science, & Technology 2019

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