Evaluation of the Selection Methods used in the exIWO Algorithm based on the Optimization of Multidimensional Functions

机译：基于多维函数优化的exiwo算法中使用的选择方法评估

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The expanded Invasive Weed Optimization algorithm (exIWO) is an optimization metaheuristic modelled on the original IWO version inspired by dynamic growth of weeds colony. The authors of the present paper have modified the exIWO algorithm introducing a set of both deterministic and non-deterministic strategies of individuals' selection. The goal of the project was to evaluate the modified exIWO by testing its usefulness for multidimensional numerical functions optimization. The optimized functions: Griewank, Rastrigin, and Rosenbrock are frequently used as benchmarks because of their characteristics.

机译：扩展的侵入性杂草优化算法（EXIWO）是由杂草殖民地动态增长的原始IWO版本的优化成分型。本文的作者已经修改了exiwo算法，介绍了一组个人选择的确定性和非确定性策略。该项目的目标是通过测试其对多维数值功能优化的有用性来评估修改的exiwo。优化的功能：viewank，Restrigin和Rosenbrock经常被用作基准，因为它们的特点。

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《International Conference of Numerical Analysis and Applied Mathematics》|2016年|various paging|共4页
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Daniel Kostrzewa; Henryk Josinski;
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中图分类 TB9-53;
关键词
minimization of multidimensional functions; evolutionary algorithm; selection of individuals;

机译：最小化多维功能;进化算法;个人选择;

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4. Evaluation of the Selection Methods used in the exIWO Algorithm based on the Optimization of Multidimensional Functions [C] . Daniel Kostrzewa, Henryk Josinski International Conference of Numerical Analysis and Applied Mathematics . 2016

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Evaluation of the Selection Methods used in the exIWO Algorithm based on the Optimization of Multidimensional Functions

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