基于蚂蚁聚类算法的蜘蛛行为

2015 15th International Conference on Intelligent Systems Design and Applications (ISDA) Pub Date : 2015-12-01 DOI:10.1109/ISDA.2015.7489234

A. Hamdi, N. Monmarché, M. Slimane, A. Alimi

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引用次数: 3

摘要

针对数据聚类问题，提出了一种新的生物启发式算法ASClass。设计这一策略的特定原则受到蚁群觅食行为的启发。该技术采用蚁群优化算法在数据库中搜索连接n个对象的最小长度封闭环。构建路径对象的过程受到社会性蜘蛛集体编织的启发。

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Spider's behavior for ant based clustering algorithm

This paper describes a novel bio-inspired metaheuristic named ASClass for data clustering problem. The particular principles used for the design of this strategy are inspired by the foraging behavior observed in ant colony. In this technique, an ant colony optimization algorithm is used to search a closed tour of minimal length connecting n objects in database. The process of building path-object is inspired by the collective weaving observed in social spiders.

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2015 15th International Conference on Intelligent Systems Design and Applications (ISDA)

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