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蜂群算法在函数优化问题中的应用

Bee Colony Algorithm for Function Optimization

中文摘要英文摘要

函数优化是算法应用中的基本问题,蜂群算法作为遗传算法与生物种群习性特征相结合的新算法,比较适合于此类问题的求解。本文首先对蜂群算法进行了简单的描述,设计出基于蜜蜂婚配过程的计算机实现的同等模型。使用实例测试蜂群算法的运行效果,并将其结果与基本遗传算法的结果进行比较。实验结果表明,蜂群算法全局搜索能力强,具有较快较好的发现最优解的能力。

Function Optimization is a basic problem in algorithm application. Bee Colony Algorithm is a combines generation algorithm and biological characteristics new algorithm. It is best of solution function optimization problem. A simple description of Bee Colony Algorithm is being in the article front. The corresponding model based bees marriage of computer is designed by us. The result of Bee Colony Algorithm is text by the function example. The experiment results show that using this algorithm in function optimization has better ability of global search and discovering best solution.

王慧

计算技术、计算机技术生物科学研究方法、生物科学研究技术

蜂群算法遗传算法函数优化

Bee Colony AlgorithmGeneration AlgorithmFunction Optimization

王慧.蜂群算法在函数优化问题中的应用[EB/OL].(2009-11-19)[2025-08-04].http://www.paper.edu.cn/releasepaper/content/200911-552.点此复制

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