Parallel Genetic Algorithm and Parallel Simulated Annealing Algorithm for the Closest String Problem

机译：最接近字符串问题的并行遗传算法和并行模拟退火算法

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摘要

In this paper, we design genetic algorithm and simulated annealing algorithm and their parallel versions to solve the Closest String Problem. Our implementation and experiments show usefulness of the parallel GA and SA algorithms.

机译：在本文中，我们设计了遗传算法和模拟退火算法以及它们的并行版本，以解决最接近字符串问题。我们的实现和实验表明了并行GA和SA算法的实用性。

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《International Conference on Advanced Data Mining and Applications(ADMA 2005); 20050722-24; Wuhan(CN)》|2005年|P.591-597|共7页
会议地点 Wuhan(CN)
作者
Xuan Liu; Hongmei He; Ondrej Sykora;
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作者单位

Department of Computer Science, Loughborough University, Loughborough, Leicestershire, LE11 3TU, The United Kingdom;

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原文格式 PDF
正文语种 eng
中图分类 TP311.13;
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2. Optimization of multi-pass milling using parallel genetic algorithm and parallel genetic simulated annealing [J] . Z. G. Wang, M. Rahman, Y. S. Wong, International Journal of Machine Tools & Manufacture: Design, research and application . 2005,第15期

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3. Parallel genetic simulated annealing: a massively parallel SIMD algorithm [J] . Chen H., Flann N.S. IEEE Transactions on Parallel and Distributed Systems . 1998,第2期

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4. Parallel Genetic Algorithm and Parallel Simulated Annealing Algorithm for the Closest String Problem [C] . Xuan Liu, Hongmei He, Ondrej Sykora International Conference on Advanced Data Mining and Applications . 2005

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5. The design, analysis, and implementation of parallel simulated annealing and parallel genetic algorithms for the composite graph coloring problem [D] . Elmer, Brent Scott 1993

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6. Comparison between simulated annealing algorithms and rapid chain delineation in the construction of genetic maps [O] . Moysés Nascimento, Cosme Damião Cruz, Luiz Alexandre Peternelli, 2010

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7. Parallel genetic algorithm and parallel simulated annealing algorithm for the closest string problem [O] . Liu Xuan, He Hongmei, Sykora Ondrej 2005

机译：最接近字符串问题的并行遗传算法和并行模拟退火算法

Parallel Genetic Algorithm and Parallel Simulated Annealing Algorithm for the Closest String Problem

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