蜂群优化算法的文献综述

Rishabh Gulati, Prashant Vats
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引用次数: 0

摘要

蜂群优化技术的灵感来自于天然蜜蜂在觅食过程中表现出的高水平的相互智能。它是一种基于种群的自然搜索算法,为解决元启发式计算优化问题提供了基础。在本文中,我们对BCO在计算问题的各个领域的应用进行了文献综述,在这些领域中,它们证明了它们在提供优化解决方案方面的价值。我们进一步通过应用BCO作为优化算法来解决优化问题,对不同研究人员所做的工作进行了表格比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A literature review of Bee Colony optimization algorithms
Bee Colony optimization techniques are inspired by the high level of mutual intelligence shown by the natural bees in the food foraging process. It is a population based natural search algorithm which provides the base to solve metaheuristic computational optimization problems. In this paper we have carried out a literature review of the applications of BCO into various areas of computational problems where they prove their worth in providing optimized solutions. We have further carried out a tabular comparison of the work performed by the various researchers by applying the the BCO as optimization algorithms for solving the Optimization Problems.
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