Heuristic algorithm
AliquotG: an improved heuristic algorithm for genome aliquoting.
... exact algorithm with respect to DCJ distance is available ...the heuristic algorithm developed by Warren and Sankoff ...Their algorithm relies on the occurrence number of gene–gene adjacencies ...
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Heuristic Algorithm in Optimal Discrete Structural Designs
... a Heuristic Algorithm for Material Size Selection ...proposed algorithm (HAMSS), Simulated Annealing Algorithm (SA) and the conventional design algorithm obtained from a structural ...
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An efficient heuristic algorithm for reliable non distributed join processing in distributed databases
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A hybrid heuristic algorithm for the open-pit-mining operational planning problem
... These algorithms have been applied with success to solve sev- eral hard combinatorial problems (Glover and Kochenberger, 2003). We propose here a hybrid heuristic with the aim of com- bining good features found in ...
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A Synthetic Heuristic Algorithm for Independent Task Scheduling in Cloud Systems
... this algorithm, first, by sorting the tasks using workload in ascending (like the first step in Min-Min), and making a virtual list from available resources with updated characteristic (by data-center), the ...
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A HEURISTIC MOVING VEHICLE LOCATION PREDICTION TECHNIQUE VIA OPTIMAL PATHS SELECTION WITH AID OF GENETIC ALGORITHM AND FEED FORWARD BACK PROPAGATION NEURAL NETWORK
... a heuristic moving vehicle location prediction algorithm is proposed to predict the vehicles future location from the current ...Genetic Algorithm (GA) and Feed Forward Back propagation Neural ...
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The Research on Search Algorithms in the Machine Learning
... the heuristic search algorithm adds arcs only in the forward direction because this protects the network from having cycles and complex network ...search algorithm that explores more possibilities in ...
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Pesqui. Oper. vol.36 número1
... by heuristic algorithm for rapid response to the operational planning ...hybrid heuristic algorithm (HHGILS) for this applications with the best performance and high-quality solutions in a ...
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Evaluation of hybrid models for static and multistage transmission system planning
... A constructive heuristic algorithm (CHA) is an iterative solver for finding a good quality solution of a complex pro- gram through a step-by-step process. For the transmission expansion problem, a new ...
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A bounded heuristic for collection-based routing in wireless sensor networks
... The heuristic algorithm proposed in this section takes these issues into consideration while including the characteristics and reasoning discussed in the previous ...The heuristic includes two ...
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Job shop scheduling with makespan objective: A heuristic approach
... TS-SA algorithm in which simulated annealing (SA) was used to find the promising elite solutions inside big valley (BV) and TS intensified search around these ...TS algorithm. Rego and Duarte (2009) ...
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A hybrid variable neighborhood search algorithm for targeted offers in direct marketing
... hybrid heuristic algorithm, based on the Greedy Ran- domized Adaptive Search Procedures and General Variable Neighborhood Search, is ...proposed algorithm was able to produce competitive ...
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Lat. Am. j. solids struct. vol.13 número2
... a heuristic algorithm is developed using line-up competition and gen- eralized pattern search to solve integer and mixed integer non-linear optimization problems subjected to various linear or nonlinear ...
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ARTIGO GENVNS TS CL PRHeuristicApproach
... a heuristic algorithm for solving it, so-called ...This algorithm combines the heuristic procedures Cheapest Insertion, Cheapest Insertion with multiple routes, GENIUS, Variable Neighborhood ...
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An imperialist competitive algorithm for solving the production scheduling problem in open pit mine
... competitive algorithm (ICA) Imperialist competitive algorithm (ICA) is a new population-based meta-heuristic algorithm proposed by Atashpaz-Gargari and Lucas (2007), inspired from the ...
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Meta-Heuristic Cuckoo Search Algorithm for the Correction of Faulty Array Antenna
... CSA is the latest meta-heuristic algorithm based on the breeding bebaviour of brood parasitism of certain species of cuckoos. First we introduce the breeding bebaviour of cuckoos and the characteristics of ...
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A Heuristic Approach for optimization of Non Linear process using Firefly Algorithm and Bacterial Foraging Algorithm
... Firefly Algorithm (FA) and Bacterial Foraging Algorithm (BFO) optimization is carried out by applying them to a Non Linear pH neutralization ...the heuristic algorithm based ...
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Heuristic methods applied in reference evapotranspiration modeling
... the heuristic methodologies with scarce data, two widely known methods had their performances assessed in relation to ...the heuristic methods in the prediction of the ...
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Quantifiable Analysis of Energy Efficient Clustering Heuristic
... Clustering Heuristic is a powerful and scalable heuristic for ad hoc ...clustering heuristic indicates that the energy depletion can be analytically decreased by including more nodes in a ...
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Heuristic Evaluation of “FarmVille” :: Brapci ::
... A heuristic evaluation, similar to the one carried out in the present study, involves looking at the product interface and making opinions about what is good and bad about the interface (Nielsen & Molich, ...
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