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首页> 外文期刊>Computational optimization and applications >A staged continuous Tabu search algorithm for the global optimization and its applications to the design of fiber Bragg gratings
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A staged continuous Tabu search algorithm for the global optimization and its applications to the design of fiber Bragg gratings

机译：全局优化的分段连续禁忌搜索算法及其在布拉格光栅设计中的应用

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摘要

A novel staged continuous Tabu search (SCTS) algorithm is proposed for solving global optimization problems of multi-minima functions with multi-variables. The proposed method comprises three stages that are based on the continuous Tabu search (CTS) algorithm with different neighbor-search strategies, with each devoting to one task. The method searches for the global optimum thoroughly and efficiently over the space of solutions compared to a single process of CTS. The effectiveness of the proposed SCTS algorithm is evaluated using a set of benchmark multimodal functions whose global and local minima are known. The numerical test results obtained indicate that the proposed method is more efficient than an improved genetic algorithm published previously. The method is also applied to the optimization of fiber grating design for optical communication systems. Compared with two other well-known algorithms, namely, genetic algorithm (CA) and simulated annealing (SA), the proposed method performs better in the optimization of the fiber grating design.
机译：提出了一种新颖的分段连续禁忌搜索（SCTS）算法，用于求解具有多个变量的多极小值函数的全局优化问题。所提出的方法包括三个阶段，这些阶段基于具有不同邻居搜索策略的连续禁忌搜索（CTS）算法，每个阶段都致力于一项任务。与CTS的单个过程相比，该方法在解决方案的空间中全面有效地搜索全局最优值。建议的SCTS算法的有效性是使用一组已知的全局和局部最小值的基准多峰函数来评估的。获得的数值测试结果表明，该方法比以前发布的改进遗传算法更有效。该方法还应用于光通信系统的光纤光栅设计的优化。与遗传算法（CA）和模拟退火算法（SA）两种其他著名算法相比，该方法在优化光纤光栅设计方面表现更好。

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