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Parallel genetic algorithms

Alternative strategies for asynchronous migration-controlled schemes in parallel genetic algorithms

Alternative strategies for asynchronous migration-controlled schemes in parallel genetic algorithms

... A particular subclass of the Levine’s [7] taxonomy of parallel genetic algorithms are the Coarse Grained Parallel Genetic Algorithm (CGPGA). Here, the entire population is compounded of ...

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Parallel genetic algorithms: a feasible distributed . Implementation

Parallel genetic algorithms: a feasible distributed . Implementation

... using multiRJ,e ーセッイウ@ too evaluate individual l1tness values (Punch [8] ). 'Ibis scheme is particularly beneficial when computations fur function evaluation, as in. rea[r] ...

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EC 5723 Beasley 2 pdf

EC 5723 Beasley 2 pdf

... The primary advantage of diploidy is that it allows a wider diversity of alleles to be kept in the population, compared with haploidy. Currently harmful, but potentially useful alleles can still be maintained, but in a ...

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TítuloHybrid model based on genetic algorithms and SVM applied to variable selection within fruit juice classification

TítuloHybrid model based on genetic algorithms and SVM applied to variable selection within fruit juice classification

... Although individuals can be selected directly from the current population and mutated before being introduced into the new population, the mutation is often used together with the crossover operator. Thus, the behavior ...

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Automatic unrestricted independent and-parallelism in logic programs

Automatic unrestricted independent and-parallelism in logic programs

... The proposed algorithms use as targets new parallel execution primitives which are simpler and more flexible than the well-known &/2 parallel operator, which makes it possible to g[r] ...

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... The substantial growth of human populations – especially as half of humanity already lives in urban areas – and the consequent expansion of agricultural and industrial activities with a high water demand, have only ...

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Heterogeneous parallel algorithms for computational fluid dynamics on unstructured meshes

Heterogeneous parallel algorithms for computational fluid dynamics on unstructured meshes

... Then, our portable approach has been implemented for both hybrid supercom- puters with GPU co-processors and standard multi-core systems. This has allowed us to carry out a detailed comparative performance analysis. This ...

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Finding Best Compiler Options for Critical Software Using Parallel Algorithms

Finding Best Compiler Options for Critical Software Using Parallel Algorithms

... the parallel versions maintains a better diversity, and while the serial version is stuck in a local optimum, the parallel versions is able to get out of it and to continue the search for better ...that ...

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Self-adaptation of parameters for MCPC in genetic algorithms

Self-adaptation of parameters for MCPC in genetic algorithms

... • E1: In any situation, exchange of information from parents to children is done in he traditional way applying the genetic operators with their corresponding probabilities. Parent’s chromosomes are mated and ...

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Optimization of Convolutional Neural Network ensemble classifiers by Genetic Algorithms

Optimization of Convolutional Neural Network ensemble classifiers by Genetic Algorithms

... a genetic algorithm is also considered to choose the networks that belong to the ...the genetic algorithm to choose the best possible option for the set of networks which com- prise the ...

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GPU parallel algorithms for reporting movement behaviour patterns in spatiotemporal databases

GPU parallel algorithms for reporting movement behaviour patterns in spatiotemporal databases

... present algorithms for computing and visualizing popular places, in the continuous model and when proximity is determined by a disk, for both the weak and strong cri- ...GPU parallel computing capabilities ...

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Genetic algorithms for topical web search: A study of different mutation rates

Genetic algorithms for topical web search: A study of different mutation rates

... The search space Q is constituted by all the possible queries that can be formulated to a search engine. Thus the population of chromosomes is a subset of such queries. Consequently, each chromosome is represented as a ...

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Automatic lateral control for unmanned vehicles via genetic algorithms

Automatic lateral control for unmanned vehicles via genetic algorithms

... McCormick, Simultaneous design of membership functions and rule sets for fuzzy controller using genetic algorithms, IEEE Transactions on Fuzzy Systems 3 (2) (1995) 129-139. Barro, Desi[r] ...

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A new strategy for adapting the mutation probability in genetic algorithms

A new strategy for adapting the mutation probability in genetic algorithms

... Probability Genetic Algorithm (APmGA) devised, which dynamically adjusts the mutation probability during the evolutionary process (see the structure of the proposed approach in Algorithm ...

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Modeling, simulation and application of bacterial transduction in genetic algorithms

Modeling, simulation and application of bacterial transduction in genetic algorithms

... of genetic algorithms based on horizontal gene transfer mechanisms, mainly conjugation and transduction ...a genetic mechanism of horizontal gene transfer within a population, whereas transduction is ...

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Run-time Adaptation of Mobile Applications using Genetic Algorithms

Run-time Adaptation of Mobile Applications using Genetic Algorithms

... Abstract—Mobile applications run in environments where the context is continuously changing. Therefore, it is necessary to provide support for the run-time adaptation of these applications. This support is usually ...

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Analysis and optimization of composite stringers

Analysis and optimization of composite stringers

... problem. Genetic algo- rithms have been presented as a family of methods which can handle most of engineering ...many algorithms which differ slightly from each other have been implemented even in ...

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Parallel evolutionary algorithms in telecommunications: two case studies

Parallel evolutionary algorithms in telecommunications: two case studies

... most parallel EAs found in the literature utilise some kind of spatial disposition for the individuals, and then parallelise the resulting chunks in a pool of ...a parallel implementation, since the same ...

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