Performance of Migrating Birds Optimization Algorithm on Continuous Functions

机译：连续函数的迁徙鸟优化算法性能

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In this study, we evaluate the performance of a recently proposed metaheuristic on several well-known functions. The objective of this evaluation is to participate in a competition where several meta-heuristics axe compared. The metaheuristic we exploit is the recently proposed migrating birds optimization (MBO) algorithm. Our contribution in this study is to develop a novel neighbor generating function for MBO to be used in multidimensional continuous spaces. After a set of preliminary tests presenting the best performing values of the parameters, the results of computational experiments are given in 2, 10 and 30 dimensions.

机译：在这项研究中，我们评估了最近提出的元启发式方法在几个众所周知的功能上的性能。此评估的目的是参加比较几个元启发法斧头的竞赛。我们利用的元启发法是最近提出的迁移鸟优化（MBO）算法。我们在这项研究中的贡献是为MBO开发了一种新颖的邻居生成函数，该函数可在多维连续空间中使用。经过一组初步测试，这些测试给出了参数的最佳性能值，然后以2、10和30维给出了计算实验的结果。

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《International conference on swarm intelligence》|2014年|452-459|共8页
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Ali Fuat Alkaya; Ramazan Algin; Yusuf Sahin; Mustafa Agaoglu; Vural Aksakalli;
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migrating birds optimization; continuous functions; single objective optimization;

机译：候鸟优化连续功能;单目标优化;

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4. Performance of Migrating Birds Optimization Algorithm on Continuous Functions [C] . Ali Fuat Alkaya, Ramazan Algin, Yusuf Sahin, International Conference on Swarm Intelligence . 2014

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Performance of Migrating Birds Optimization Algorithm on Continuous Functions

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