蚂蚁系统的分析与比较不同参数设置的蚁群系统和最大最小蚁群系统

2017 3rd International Conference on Computational Intelligence & Communication Technology (CICT) Pub Date : 2017-02-01 DOI:10.1109/CIACT.2017.7977376

Renu Jangra, Ramesh Kait

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引用次数: 14

摘要

蚁群优化是解决复杂组合优化问题的一种有效方法。后续蚂蚁系统;作为主要的蚁群算法，已经部署了大量的算法变体，这些变体在各种优化问题上表现出明显的优越性能。在本文中，我们提出了蚁群系统- acs和最大最小蚂蚁系统- mmas相对于蚂蚁系统- as的基本修改。并比较了三种算法在不同参数调整下的结果。

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Analysis and comparison among Ant System; Ant Colony System and Max-Min Ant System with different parameters setting

Ant colony optimization is a victorious technique to resolve complicated combinatorial optimized problems. Subsequent Ant System; the primary ACO algorithm, the tremendous number of algorithmic variations have been deployed that illustrate appreciably superior performance on a broad variety of optimized problems. In this paper, we present the basic modifications in Ant Colony System-ACS and Max-Min Ant System-MMAS with respect to Ant System-AS. Also, compare the result of these three algorithms based on different parameter adjustments.

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2017 3rd International Conference on Computational Intelligence & Communication Technology (CICT)

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