efficient hybrid search algorithm
Efficient Hybrid Ranking Algorithm for Search Engine
... Usage based ranking is never done in alienation .It depends on content based ranking and link based ranking . Usage- based ranking algorithms score documents by how often they are viewed by Internet users . For ...
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An Efficient Task Scheduling Method In A Cloud Computing Environment Using Firefly Crow Search Algorithm (FF-CSA)
... new hybrid Firefly Crow Search Algorithm (FCSA) algorithm to minimize the makespan of the user requests on the ...proposed hybrid Firefly Crow Search Algorithm (FF-CSA) ...
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Optimization of Thermal Aware VLSI Non Slicing Floorplanning Using Hybrid Particle Swarm Optimization Algorithm Harmony Search Algorithm
... Memetic Algorithm (MA) [18] for a non-slicing VLSI floorplanning problem is ...genetic search method to explore the search space and an efficient local search method to exploit ...
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Cuckoo Search based Hybrid Classification Techniques
... clustering algorithm is used that utilizes distance measures at the kernel space, to convert the multi-class problem into binary decision tree, in which the binary decisions are made by the SVMs ...the ...
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A Hybrid Algorithm Based on Memetic Algorithm and Tabu Search for -Minimum Spanning Tree Problems
... Memetic Algorithm was first introduced by Moscato in 1989 ...Genetic Algorithm) have been applied widely to solve optimization problems because of their good search ...be efficient to some ...
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A Hybrid Page Rank Algorithm: An Efficient Approach
... The search engines are used to serve this ...major search engines such as Google, Yahoo, MSN etc follow some general ...a search engine site, then it returns a large number of pages in response to ...
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OPRCP: approximate nearest neighbor binary search algorithm for hybrid data over WMSN blockchain
... WMSN-based hybrid data query transactions. This paper aims at the search problem of high-dimensional, large-scale, and multi-type multimedia data out of WMSN IoT; we present a novel OPRCP method for binary ...
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EFFICIENT SCHEDULING OF WORKFLOW IN CLOUD ENVIORNMENT USING BILLING MODEL AWARE TASK CLUSTERING
... new hybrid Cross Hexagon Diamond Search algorithm (CHDS) using cross- shaped search pattern as the initial step and asymmetric hexagon-shaped patterns and small diamond pattern as the ...
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Anomaly Intrusion Detection based on a Hybrid Classification Algorithm (GSVM)
... an efficient SVM to achieve better output with an acceptable level of ...a hybrid classification algorithm (GSVM) based Gravitational Search Algorithm (GSA) and support vector machines ...
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A new hybrid approach based on discrete differential evolution algorithm to enhancement solutions of quadratic assignment problem Pages 51-72 Download PDF
... meta-heuristic algorithm that can enable the most efficient allocation of N facilities to N locations (N > 30) of ...Tabu search (TS) (Zhang et ...Genetic Algorithm (GA) (Radiah Shariff ...
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Multiple-Constraint Synthesis of Rotationally Symmetric Sparse Circular Arrays Using a Hybrid Algorithm
... Various optimization methods have been reported to synthesize sparse circular arrays in [14–22], including analytical techniques and evolutionary algorithms. In [14] and [15], the vector mapping (VM) method and matrix ...
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Performance Evaluation of PSO, PSOCA and MPSOCA for Solving University Timetabling Problem
... Optimization algorithm (PSO), Particle Swarm Optimization based Cultural Algorithm (PSOCA) and Modified Particle Swarm Optimization based Cultural Algorithm (MPSOCA) was carried out using simulation ...
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A Modified Iterated Greedy Algorithm for Flexible Job Shop Scheduling Problem
... Evolutionary algorithms, such as genetic algorithm (GA), are an effective type of meta-heuristic methods. Zhang et al. [11] proposed a bi-level GA in an attempt to keep the advantages of preceding generations and ...
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Efficient Hybrid Algorithm for High Utility Itemset Mining
... In this paper, we looked at the question of the best sets of high-use mining mines, where k is the coveted number of highly useful sets of things to extract. The most competent combination of TKO WITH TKU of the TKO and ...
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A Hybrid Clustering Based Color Image Segmentation using Ant Colony and Particle Swarm Optimization Methods
... RGB color space and Otsu method is used to realize an image, one need to isolate the objects in it and have to find relation among them [14]. An effort is made to defeat the problems encountered while segmenting an ...
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Analyzing and Implementing a Mobile Reminder System for Alzheimer’s Patients
... Propagation Algorithm: The Best Algorithm Among The Multi-Layer Perceptron Algorithm," International Journal Of Computer Science And Network Security, ...
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An Enhanced Cooperative Harmony Search Algorithm for Solving Optimization Problems
... harmony search and artificial bee colony algorithm for global optimization problems have introduced the artificial bee colony algorithm is a new swarm intelligence technique inspired by intelligent ...
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Hybrid of Particle Swarm Optimization, Simulated Annealing and Tabu Search for the Reconstruction of Two-Dimensional Targets from Laboratory-Controlled Data
... PSO algorithm is easily trapping into local minimum and may lead to the premature ...new hybrid algorithm of particle swarm optimization (PSO), simulated annealing (SA) and tabu search ...
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SOME FURTHER EXPERIMENTS WITH THE GENETIC ALGORITHM FOR THE QUADRATIC ASSIGNMENT PROBLEM
... Then, the genetic variability test [15] is performed before moving to the next generation. In particular, we test if the entropy of the population is less than the pre-defined threshold, ET. If it is, then restart ...
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Design of Hybrid Algorithm for Fast and Efficient Image Vector Detection and Recognition
... Abstract— The digital image processing is used in a number of areas, particularly for feature extraction and recognition of similar features in two separate images. Recognition of features is a problem, and though there ...
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