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Efficient mining of association rules based on gravitational search algorithm

Efficient mining of association rules based on gravitational search algorithm

... gravitational search algorithm for discovering interesting association ...evolutionary algorithm is based on the Newtonian gravity and the laws of ...

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An Improvement of Unsymmetrical-Cross Multi-Hexagon-grid Search algorithm

An Improvement of Unsymmetrical-Cross Multi-Hexagon-grid Search algorithm

... [5] L. K. Liu and E. Feig, “A blo ck-based gradient descent search algorithm for block motion estimation in video coding,” IEEE Trans. Circuits Syst. Video Technol. , vol. 6, no. 4, pp. 419-422, Aug. 1996. ...

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A hybrid search algorithm for swarm robots searching in an unknown environment.

A hybrid search algorithm for swarm robots searching in an unknown environment.

... the search, all robots are in state ...the search process to analyze the state of each ...the search process at some ...the search progresses, the concentration value of the target signal of ...

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A Tabu Search Algorithm With Efficient Diversification Strategy for High School Timetabling Problem

A Tabu Search Algorithm With Efficient Diversification Strategy for High School Timetabling Problem

... The algorithm has three ...tabu search. In the first phase, a graph based algorithm used to create groups of lessons to be scheduled simultaneously; then an initial solution is built by a sequential ...

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Hybridisations of Variable Neighbourhood and Modified Simplex Methods to Harmony Search Algorithm for Process Optimisations

Hybridisations of Variable Neighbourhood and Modified Simplex Methods to Harmony Search Algorithm for Process Optimisations

... Abstract — Nowadays, the engineering problem systems are large and complicated. An effective finite sequence of instructions for solving these problems can be categorised into optimisation and meta-heuristic algorithms. ...

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Modified Cross Hexagon Diamond Search Algorithm for Fast Block Matching Motion Estimation

Modified Cross Hexagon Diamond Search Algorithm for Fast Block Matching Motion Estimation

... HS search employs a hexagon shaped pattern and results in fewer search points with similar ...and search efficiency to track large ...the search position moves away from the global ...adaptive ...

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GUESS-ing polygenic associations with multiple phenotypes using a GPU-based evolutionary stochastic search algorithm.

GUESS-ing polygenic associations with multiple phenotypes using a GPU-based evolutionary stochastic search algorithm.

... Our algorithm, GUESS, also considers BVS for such a large model space through an Evolutionary Stochastic Search algorithm [7], but differs from piMASS in three main ...the search ...

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Meta-Heuristic Cuckoo Search Algorithm for the Correction of Faulty Array Antenna

Meta-Heuristic Cuckoo Search Algorithm for the Correction of Faulty Array Antenna

... In this article, we introduce a CSA (Cuckoo Search Algorithm) for compensation of faulty array antenna. It is assumed that the faulty elemental location is also known. When the sensor fails, it disturbs the ...

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An Experience Oriented-Convergence Improved Gravitational Search Algorithm for Minimum Variance Distortionless Response Beamforming Optimum.

An Experience Oriented-Convergence Improved Gravitational Search Algorithm for Minimum Variance Distortionless Response Beamforming Optimum.

... gravitational search algorithm (ECGSA) based on two new modifications, searching through the best experiments and using of a dynamic gravitational damping coefficient (α), is introduced in this ...the ...

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A hybrid variable neighborhood search algorithm for targeted offers in direct marketing

A hybrid variable neighborhood search algorithm for targeted offers in direct marketing

... local search procedure VND was called after each solution created by the ...proposed algorithm, GGVNS, was applied. It performs its search over the GRASP best solution (as described in ...

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A Rough Sets based modified Scatter Search algorithm for solving 0-1 Knapsack problem

A Rough Sets based modified Scatter Search algorithm for solving 0-1 Knapsack problem

... Scatter Search methodology has been best known for its flexibility in solving variety of ...Scatter Search steps, but these five steps will be adapted to the proposed problem in the next ...

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New Hybrid Algorithms for Task Scheduling in Computational Grids to Decrease Makespan

New Hybrid Algorithms for Task Scheduling in Computational Grids to Decrease Makespan

... genetic algorithm (GA), which is a global search algorithm, and the firefly algorithm (FA), which searches ...The algorithm aims at minimizing makespan. Firefly algorithm because ...

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Rev. Bras. Geof.  vol.21 número3

Rev. Bras. Geof. vol.21 número3

... LIU, P.; HARTZELL, S. A; STEPHENSON, W. Nonlinear multiparameter inversion using a hybrid global search algorithm: applications in reflec- tion seismology. Geophys. J. Int., [S.l.], v. 122, p. 991-1000, ...

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A HYBRID GENETIC-LINEAR ALGORITHM FOR 2D INVERSION OF SETS OF VERTICAL ELECTRICAL SOUNDING

A HYBRID GENETIC-LINEAR ALGORITHM FOR 2D INVERSION OF SETS OF VERTICAL ELECTRICAL SOUNDING

... LIU, P.; HARTZELL, S. A; STEPHENSON, W. Nonlinear multiparameter inversion using a hybrid global search algorithm: applications in reflec- tion seismology. Geophys. J. Int., [S.l.], v. 122, p. 991-1000, ...

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Stride Search: a general algorithm for storm detection in high-resolution climate data

Stride Search: a general algorithm for storm detection in high-resolution climate data

... detection algorithm is reviewed, which splits the problem into two parts: a spa- tial search followed by a temporal correlation ...spatial search algorithm are compared: the commonly used grid ...

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A Secure & Optimized Data Hiding Technique Using DWT With PSNR Value

A Secure & Optimized Data Hiding Technique Using DWT With PSNR Value

... heuristic search algorithm based relying on the evolutionary thoughts of usual collection and ...genetic algorithm crossover and mutation operators are used for to generate the optimized production ...

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A Hybrid Genetic Algorithm Approach for Concave Minimum Cost Network Flow Problems

A Hybrid Genetic Algorithm Approach for Concave Minimum Cost Network Flow Problems

... To test the efficiency and effectiveness of the HGA we use the problem set described in [5]. The authors consider two groups of problems: Eucledian problems, group A and random problems, group B. In this work only ...

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The Research on Search Algorithms in the Machine Learning

The Research on Search Algorithms in the Machine Learning

... heuristic search starts with adding and removing arcs from the each variable to the last ...the algorithm calculates the network score, records the score in a list, and removes the ...The algorithm ...

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On selecting heuristic function subset for domain independent-planning

On selecting heuristic function subset for domain independent-planning

... a search algorithm that does not detect duplicated nodes during search, while solving domain-independent planning ...A* search tree ...

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An Improved Bees Algorithm for Real Parameter Optimization

An Improved Bees Algorithm for Real Parameter Optimization

... to search for additional natural bee aspects that can be modeled in BA and improve its ...optimal search strategy [23, 24, ...looping search triggers the flight paths that is performed by honeybee ...

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