基于布谷鸟-宿主协同进化元启发式的复杂基准函数全局优化

Computing Technologies eJournal Pub Date : 2012-08-11 DOI:10.2139/SSRN.2128079

Sudhanshu K. Mishra

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引用次数: 5

摘要

提出了一种基于布谷鸟-宿主协同评价的全局优化方法。并为该算法开发了Fortran-77代码。该算法已经在96个基准函数上进行了测试(其中报告了30个相对较难的问题的结果)。该方法与全局优化的差分进化方法具有可比性。

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Global Optimization of Some Difficult Benchmark Functions by Cuckoo-Host Co-Evolution Meta-Heuristics

This paper proposes a novel method of global optimization based on cuckoo-host co-evaluation. It also develops a Fortran-77 code for the algorithm. The algorithm has been tested on 96 benchmark functions (of which the results of 30 relatively harder problems have been reported). The proposed method is comparable to the Differential Evolution method of global optimization.

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Computing Technologies eJournal

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