Ant Colony
Searching Experience Sharing Based on Ant Colony Model
... Search engine is an important tool to all the Internet users. It helps users finding useful contents in the cyberspace. However, searching experiences among different users are difficult to be shared and accumulated. In ...
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Designing DNA Microarrays with Ant Colony Optimization
... MAX-MIN ant system uses explicit pheromone bounds and pheromone reinitialization in the case the algorithmic stagnation is detected ...Best-worst ant system (BWAS) is similar to MMAS, but in addition, it ...
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An Ant Colony Optimization Algorithm for Network Vulnerability Analysis
... In this paper, we present an ant colony optimization algorithm, called AntNAG, for minimization analysis of large-scale network attack graphs. A local search heuristic has been used to improve the overall ...
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Comparison on the Performance of Genetic Algorithm and Ant Colony Optimization
... Ant colony is said to be the probabilistic technique, which is used for solving the computational problems. They help in finding good solution to the problems. This is a Meta heuristic approach, which ...
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Optimization of Unit Commitment Using Ant Colony Algorithm
... Ant Colony System (ACS) model for solving Unit Commitment Problem (UCP) has been proposed in this ...using Ant Colony System (ACS). The Ant System (AS) algorithm utilises the technique ...
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MULTI ANT COLONY OPTIMIZATION FOR OPINION CLASSIFICATION
... Abstract: Opinion Mining could be a sort of process in Natural Language Processing to track the disposition or supposition of individuals about a particular item, subject or service. This can be too called as Opinion ...
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Ant Colony Optimization Algorithm for Wireless Sensor Network
... In a changing environment of wireless sensor network, finding an optimal path is a challenging issue. One of the primary goal in WSN environment would be to improve the lifetime of the network. Vitality will be wasted ...
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A Survey of Ant Colony Optimization with Social Network
... of Ant colony optimization, Although most of the ant species are complete blind and also not acoustic sense, but they can find food (in a group) with optimal path with the help of following ...
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A Randomness Ant Colony Algorithm for Solving TSP
... is Ant Colony Optimization (ACO). In this paper, a randomness ant colony algorithm is proposed to solve the defects of ACO by optimizing the path selection probability update rule and ...
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Review on Ant Colony Optimization and Optimal path in VANET
... Ant colony optimization (ACO) is a set of rules based on the behavior of the actual ants to find the shortest direction from a supply to the ...manner ant follow the shorter direction and are ...
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Adaptive multimodal continuous ant colony optimization
... [12]–[16], ant colony optimiza- tion (ACO) [17]–[22], and estimation of distribution algorithms (EDAs) [23]–[27], have been successfully applied to solve various problems [28]–[35], most of them focus on ...
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Multispectral palmprint recognition using ant colony optimization
... Feature extraction and reduction of pattern dimensionality is the most important step in a pattern recognition system. Ant colony optimization is a paradigm for designing a meta- heuristic [14] algorithm ...
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Timetable Generation Using Ant Colony Optimization Algorithm
... on ant colony optimisation mainly considered artificially generated UCTP instances, our work proves that ACO can be highly successful in solving real–world timetabling ...
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Secure Checkpointing Approach on Ant Colony Optimization in MANET
... work," Ant Based Multicast Routing Algorithm with Multiple Constraints for Mobile Adhoc ...on Ant-Colony Based Multicast Routing (AMR) algorithm for MANETs, to solve the Traffic Engineering ...
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Data Stream Classification Using Ant Colony Optimization
... In Ant Colony Optimization, problems are defined in terms of components and states, which are sequences of ...components. Ant Colony Optimization incrementally generates solutions in the form ...
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Ant Colony and Cuckoo Search algorithms for document clustering
... clustering problem. It has been proved that the undesired solutions of K-means algorithm are omitted by the learning mechanism found with ant colony algorithm. Shang et al (2004) have proposed a new ...
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An Adaptive Learning Based on Ant Colony and Collaborative Filtering
... In this work, we used a hybrid method based on ant colony algorithm and the collaborative filtering algorithm. Ants Colonies Algorithm remains a fine tool to solve combinatory problems. Data sharing on ...
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Ant Colony Optimization for Buyer Coalition with Bundle of Items
... Abstract—To date, several new problems interesting for an ant colony optimization (ACO) are proposed and evaluated. However, in electronic marketplaces, there are no schemes focusing on forming a buyer ...
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Survey on Ant Colony Optimization
... named Ant colony based routing algorithm (ARA) has already been implemented for ad hoc networks in ...MANET. ANT inspired approach: Here every node will maintain a routing table having all the nodes ...
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II. PROCEDURE ANT COLONY OPTIMIZATION
... the Ant-Miner Algorithm was proposed which used an ant colony optimization algorithm to discover a set of ordered ...the Ant-Miner algorithms. In [2] a modified version of Ant-Miner was ...
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