Bacterial Foraging Optimization and Tabu Search: Performance Issues and Cooperative Algorithms

机译：细菌觅食优化和禁忌搜索：性能问题和合作算法

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This article presents comparison studies of the search performances between the adaptive bacterial foraging optimization (ABFO), the adaptive tabu search (ATS) and the cooperative algorithms thereof. Assessment scenario adopts some 3D surface optimization problems, one of which contains many global solutions. The computing results are elaborated, and indicate the superiority of the cooperative BF-TS algorithms. The article also presents an application of the proposed algorithms to the control of a hard disk head-stack.

机译：本文介绍了自适应细菌觅食优化（ABFO），自适应禁忌搜索（ATS）及其协作算法之间的搜索性能比较研究。评估方案采用了一些3D表面优化问题，其中之一包含许多全局解决方案。阐述了计算结果，表明了协同BF-TS算法的优越性。本文还介绍了所提出的算法在硬盘头堆栈控制中的应用。

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来源
《New aspects of systems theory and scientific computation》|2010年|p.186-191|共6页
会议地点 Taiwan(CT);Taiwan(CT)
作者
Nuapett Sarasiri; Sarawut Sujitjorn;
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作者单位

School of Electrical Engineering, Institute of Engineering Suranaree University of Technology Nakhon Ratchasima, Thailand, 30000;

School of Electrical Engineering, Institute of Engineering Suranaree University of Technology Nakhon Ratchasima, Thailand, 30000;

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会议组织
原文格式 PDF
正文语种 eng
中图分类 C94;
关键词
bacterial foraging; tabu search; cooperative algorithms; performance; control; hard disk head;

机译：细菌觅食禁忌搜索;协同算法；性能;控制;硬盘头;

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Bacterial Foraging Optimization and Tabu Search: Performance Issues and Cooperative Algorithms

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