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Ant colony based algorithm

A HYBRID OPTIMIZATION ALGORITHM BASED ON GENETIC ALGORITHM AND ANT COLONY OPTIMIZATION

A HYBRID OPTIMIZATION ALGORITHM BASED ON GENETIC ALGORITHM AND ANT COLONY OPTIMIZATION

... proposed GA and ACO hybridization that is slightly more efficient than Al-Salami work by extending crossover operator in GA (EXO) to produce better solution generated by ACO[23]. There are two steps to get the solution. ...

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DANTE - The combination between an ant colony optimization algorithm and a depth search method

DANTE - The combination between an ant colony optimization algorithm and a depth search method

... The kernel of the method, similarly to the Ant Colony Optimization method, has a set of cycles. In each cycle a set of solutions is built using the pheromone trails. Those so- lutions are themselves used to ...

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DNA Motif Discovery Based on Ant Colony Optimization and Expectation Maximization

DNA Motif Discovery Based on Ant Colony Optimization and Expectation Maximization

... method based on the Ant Colony Optimization (ACO) and Expectation Maximization (EM) algorithm to discover DNA motifs (collections of TFBSs) in a set of ...EM algorithm is then applied ...

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Performance Evaluation of Different Network Topologies Based On Ant Colony Optimization

Performance Evaluation of Different Network Topologies Based On Ant Colony Optimization

... a colony of artificial ants cooperates in finding good solutions to discrete optimization ...Each ant of the colony exploits the problem graph to search for optimal ...‘artificial ant’, unlike ...

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A multi-objective Pareto ant colony algorithm for the Multi-Depot Vehicle Routing problem with Backhauls

A multi-objective Pareto ant colony algorithm for the Multi-Depot Vehicle Routing problem with Backhauls

... The Ant Colony metaheuristic is based on the natural behavior of ants searching ...each ant is to reduce the effort and time required to obtain ...

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Ant Colony Optimization: a literature survey

Ant Colony Optimization: a literature survey

... behind ant algorithms is to adapt and use their communication style which has been proven to be so good in nature, rather than truly mimic the behaviour of real ...foraging ant spends all its life ...

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Ant Colony Clustering Algorithm and Improved Markov Random Fusion Algorithm in Image Segmentation of Brain Images

Ant Colony Clustering Algorithm and Improved Markov Random Fusion Algorithm in Image Segmentation of Brain Images

... clustering algorithm, and the search process is easy to fall into the local ...optimum. Based on such shortcomings of FCM, the ant colony algorithm is proposed to combine with ...the ...

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An Adaptive Learning Based on Ant Colony and Collaborative Filtering

An Adaptive Learning Based on Ant Colony and Collaborative Filtering

... approach based on the Ants colonies' optimization algorithm to recommend a learning course which fit in the best manner into learner's ...filtering algorithm is used to arrange learners into groups ...

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The Optimization of Running Queries in Relational Databases Using ANT-Colony Algorithm

The Optimization of Running Queries in Relational Databases Using ANT-Colony Algorithm

... The experiment on ants shows that despite the existence of two paths with different length from nest to food, after a while (about a few minutes), most of ants select shorter path and this ratio increases as the ...

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Selective Marketing for Retailers to promote Stock using improved Ant Colony Algorithm

Selective Marketing for Retailers to promote Stock using improved Ant Colony Algorithm

... on Ant Colony. The source of inspiration of Ant colony algorithm is foraging behavior of natural ant ...as Ant Colony Optimization (ACO) ...results. Ant- ...

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DETECTION OF MASSES IN MAMMOGRAM IMAGES USING ANT  COLONY OPTIMIZATION

DETECTION OF MASSES IN MAMMOGRAM IMAGES USING ANT COLONY OPTIMIZATION

... cancer based on FCOSVM represented in [3] improves the accuracy up to ...ACO algorithm which automatically produce systems for breast cancer diagnosis which gives the results with accuracy ...

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Quantitative estimating size of deep defects in multi-layered structures from eddy current NDT signals using improved ant colony algorithm

Quantitative estimating size of deep defects in multi-layered structures from eddy current NDT signals using improved ant colony algorithm

... Such method presented by this paper is based on the underlying physical process. A time-varying current flowing into an exciting coil placed near to the specimen induces eddy current in the specimen under testing. ...

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Solving the Travelling Salesman Problem Using the Ant Colony Optimization

Solving the Travelling Salesman Problem Using the Ant Colony Optimization

... ACO algorithm provides relatively good results by a comparatively low number of iterations, and is therefore able to find an acceptable solution in a comparatively short time, so it is useable for solving problems ...

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Airline disruption management: dynamic aircraft scheduling with ant colony optimization

Airline disruption management: dynamic aircraft scheduling with ant colony optimization

... developed algorithm, based on Ant Colony Optimization, aims to minimize the operational costs involved and is designed to schedule and reschedule flights dynamically by using a sliding ...

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Swarm Intelligence Based Ant Colony Optimization (ACO)  Approach for Maximizing the Lifetime of Heterogeneous Wireless  Sensor Networks

Swarm Intelligence Based Ant Colony Optimization (ACO) Approach for Maximizing the Lifetime of Heterogeneous Wireless Sensor Networks

... The wireless sensor networks (WSNs) technology have been widely applied in military[1], industry, agriculture[2] and many other areas .In the WSNs, a lot of nodes operate on limited batteries, making energy resources the ...

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Application of the Ant Colony Search Algorithm to Reactive Power Pricing in an Open Electricity Market

Application of the Ant Colony Search Algorithm to Reactive Power Pricing in an Open Electricity Market

... Thus planning and operation of the utilities are based on the economic principles of open-access markets. In this new environment electric markets are essentially competitive. Until now, effort has been directed ...

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An Ant-based approach to Power-Efficient Algorithm for Wireless Sensor Networks

An Ant-based approach to Power-Efficient Algorithm for Wireless Sensor Networks

... Delay based on Ant Colony Optimization (ACO) algorithm (E&D ANTS) to minimize the time delay in transferring a fixed number of data from the source nodes to the destination nodes in an ...

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Ant Colony Optimization for Capacitated Vehicle Routing Problem

Ant Colony Optimization for Capacitated Vehicle Routing Problem

... ACO algorithm which is called Ant System (AS) for the problem and then presented an improved AS in Bullnheimer et ...Savings based Ant System (SbAS) and then Reimann et ...(TS) ...

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Tasks Scheduling using Ant Colony Optimization

Tasks Scheduling using Ant Colony Optimization

... using Ant Colony Optimisation (ACO) for arriving at a ...conducted based on an ACO algorithm and the average wait time of all tasks is ...FCFS algorithm, it is found that the load is ...

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