Using an Adaptive Memory Strategy to Improve a Multistart Heuristic for Sequencing by Hybridization

机译：使用自适应内存策略改善通过杂交测序的多起点启发式

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We describe a multistart heuristic using an adaptive memory strategy for the problem of sequencing by hybridization. The memory-based strategy is able to significantly improve the performance of mem-oryless construction procedures, in terms of solution quality and processing time. Computational results show that the new heuristic obtains systematically better solutions than more involving and time consuming techniques such as tabu search and genetic algorithms.

机译：我们描述了一种使用自适应记忆策略针对杂交测序问题的多起点启发式方法。基于内存的策略能够在解决方案质量和处理时间方面显着提高无内存构造过程的性能。计算结果表明，与诸如禁忌搜索和遗传算法之类的费时费力的技术相比，新的启发式方法在系统上获得了更好的解决方案。

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《International Workshop on Experimental and Efficient Algorithms(WEA 2005); 20050510-13; Santorini Island(GR)》|2005年|P.4-15|共12页
会议地点 Santorini Island(GR)
作者
Eraldo R. Fernandes; Celso C. Ribeiro;
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Department of Computer Science, Catholic University of Rio de Janeiro, Rua Marques de Sao Vicente 225, 22453-900 Rio de Janeiro, Brazil;

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原文格式 PDF
正文语种 eng
中图分类理论、方法;
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4. Using an Adaptive Memory Strategy to Improve a Multistart Heuristic for Sequencing by Hybridization [C] . Eraldo R. Fernandes, Celso C. Ribeiro International Workshop on Experimental and Efficient Algorithms . 2005

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Using an Adaptive Memory Strategy to Improve a Multistart Heuristic for Sequencing by Hybridization

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