Decision-making in social insects and nature-inspired optimisation algorithms

社会性昆虫的决策和自然启发的优化算法

• 批准号: LX0348218
• 负责人: Prof Benjamin Oldroyd
• 金额: $ 2.1万
• 依托单位: The University of Sydney
• 依托单位国家: 澳大利亚
• 项目类别: Linkage - International
• 财政年份: 2004
• 资助国家: 澳大利亚
• 起止时间: 2004-02-01 至 2007-01-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LX0348218
• 关键词: Decision; making; social; insects; nature

Insect societies are ideal for the study of complex systems. Contrary to other complex systems, insect colonies can be modified without destroying the system. Computer scientists have found a source of inspiration in the behaviour of social insects for solving optimisation problems. Here we will study the influence of information flow on decision-making in real insect societies using: 1) Experiments aimed at investigating how storage and transfer of information affects individual decision-making within a honey bee colony (University of Sydney) 2) Design of a new class of 'bee' algorithms that incorporate direct information transfer and are aimed at solving dynamic multicriterion optimisation problems (University of Leipzig).

昆虫协会是研究复杂系统的理想选择。与其他复杂系统相反，昆虫群体可以在不破坏系统的情况下进行修改。计算机科学家从群居昆虫的行为中找到了解决优化问题的灵感来源。在这里，我们将使用以下工具研究信息流对真实昆虫社会决策的影响： 1)旨在调查信息的存储和传输如何影响蜜蜂群体中的个人决策的实验(悉尼大学) 2)设计一类新的“蜜蜂”算法，包括直接信息传递，旨在解决动态多目标优化问题(莱比锡大学)。