ant-colony-algorithm IEEE PAPER 2017






Query Optimization using ModifiedAnt Colony Algorithm
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ABSTRACT Query optimization is challenging task in database. Many different types of techniques used to optimize query. Heuristic Greedy, Iterative Improvement andAnt Colony algorithms is being used to query optimization.Ant colony Algorithmused to find optimal

A NicheAnt Colony Algorithmfor Parameter Identification of Space Fractional Order Diffusion Equation.
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Abstract In this paper, based on the space fractional order diffusion equation, we estimate the equation parameters by using an improvedant colony algorithm , that is, the NicheAnt Colony Algorithm(NACA) based on fitness sharing principle. Its efficiency is verified by

Online Resource Scheduling usingAnt colony algorithmfor Cloud Computing
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Abstract: Load balancing is a technique that distributes the excess dynamic local workload evenly across all the nodes. It is used for achieving a better service provisioning and resource utilization ratio, hence improving the overall performance of the system. Incoming

Optimize Workflow Scheduling Using HybridAnt ColonyOptimization (ACO)Particle Swarm Optimization (PSO)Algorithmin Cloud Environment
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Abstract: Those days are gone when storing and accessing of data were done on computers hard drive. Now with innovation in technology and with the great success of Internet computing resources have become more economical, more powerful and more ubiquitously

DIJKSTRA- ANT COLONYOPTIMIZATIONALGORITHMFOR SHORTEST AND SAFEST EVACUATION IN HIGH RISE BUILDING
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Abstract The successfulness of evacuation is defined by the ability of the evacuees to escape from the danger place safely in a short time. The three problems highlighted in this study are evacuees do not know the right route should they take to safe themselves

Optimizing Inter ClusterAnt ColonyOptimization Data AggregationAlgorithmwith Rendezvous Nodes and Mobile Sink
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Abstract Energy conservation is becoming the main critical issue in wireless sensor network and also the main research area for most of the researchers. For improving the energy efficiency, sink mobility is used with constrain path in wireless sensor network. In order to

Cost-Efficient Task Scheduling withAnt Colony Algorithmfor Executing Large Programs In Cloud Computing
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Abstract: The aim of cloud computing is to share a large number of resources and pieces of equipment to compute and store knowledge and information for great scientific sources. Therefore, the schedulingalgorithmis regarded as one of the most important challenges

Optimization usingAnt Colony Algorithm
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Abstract-Process of extracting patterns from data is called data mining. Association rule mining (ARM) is the essential part of data mining. Association rule mining problem is to find good quality of rules between items. The good quality of rules helps in better decision

Study of logistics distribution route based on improved geneticalgorithmandant colonyoptimizationalgorithm
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Abstract: To solve the problem of vehicle routing problem under capacity limitation, this paper puts forward a novel method of logistics distribution route optimization based on geneticalgorithmandant colonyoptimizationalgorithm(GA-ACO). On the first stage,

Welding Path Planning of welding Robot Based on ImprovedAnt Colony Algorithm
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ABSTRACT: The basicant colony algorithmin the welding robot path planning, in the search process, prone to search for too long, low efficiency, easy to fall into the local optimal and other issues. In this paper, the basicant colony algorithmis improved, and the Adadelta

Urban Disaster Prevention and Emergency Material Distribution Based onAnt Colony Algorithm
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Abstract Targeting at quantitative analysis of urban comprehensive disaster prevention planning, combining process architecture and method of multiple-target collaborative system on the basis of transforming bridge method, the paper puts forward a decision-making

An Improved Association Rule Mining Approach to Reduce Iterations inAnt Colony Algorithmthrough Artificial BeeColony Algorithm
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Abstract-In data mining, Associated Rules are working to find the best search data from the large amount of data. There are number of differentalgorithmavailable to find the associated rules likeAnt colony algorithm , Apriori and FP growth and may more. In this

Parallel implementation of the ArtificialAnt Colony Algorithmapplied to medical images segmentation
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Abstract. ArtificialAnt Colony algorithm(AAC) can be applied to segmentation of bone structures out of CT data series. AAC procedure produces promising results in regions of adjacent bones and joints which are hard to distinguished by common segmentation

ANT COLONYOPTIMIZATION BASED ROUTINGALGORITHMFOR MOBILE AD HOC NETWORK: A SURVEY
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ABSTRACT: Mobile ad-hoc networks are infrastructureless networks consisting of wireless, mobile nodes are ordered in peer-to-peer and self-governing fashion. The highly active topology, limited bandwidth availability and energy constraints make the routing problem a

Ant colonyoptimizationalgorithm : advantages, applications and challenges
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K Tewani - cmnt.lv AbstractAnt Colonyoptimization is a technique for optimization that was introduced in early 1990s. ACOalgorithmmodels the behaviour of realantcolonies in establishing the shortest path between food sources and nests and this technique is applied on number of

Multi-constrained Network Intensive Vehicle Routing AdaptiveAnt Colony Algorithmin the context of Neural Network Analysis
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Abstract: Neural network models have recently made significant achievements in solving vehicle scheduling problems. Adaptiveant colony algorithmprovides a new idea for neutral network to solve complex system problems of multi-constrained network intensive vehicle

A HYBRID MODEL OF PARTICLE SWARM ANDANT COLONYOPTIMIZATIONALGORITHMFOR TEST CASE OPTIMIZATION
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ABSTRACT Regression testing is the process of validating modifications introduced in a system during software maintenance. It is done to check that a system update does not introduce errors that have been corrected or the change in one part of the program does not

Ant Colonyand Tolerable Delay Based Modified Virtual BackoffAlgorithmfor Wireless Sensor Networks
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Abstract: The MAC layer plays a major role in the enhancement of the performance of any network. Hence this paper proposes a modified virtual backoffalgorithmwhich queues the packets based on the delay that application can tolerate andant colonyoptimization

PERFORMANCE ANALYSIS OFANT COLONYOPTIMIZATION AND GENETICALGORITHMFOR CLOUD LOAD BALANCING
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Abstract: In this paper, we have analysed load balancing algorithms named as ACO and Genetic optimization, which are used for distribution of workload among the servers. Load balancing is major problem in cloud computing environment. We have proposed Load

FAACOSE: A fast adaptiveant colonyoptimizationalgorithmfor detecting SNP epistasis
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Abstract The epistasis is prevalent in the SNP interactions. Some of the existing methods are focused on constructing models for two SNPs. Other methods only find the SNPs in consideration of one objective function. In this paper, we present a unified fast framework


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