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- W2807787066 abstract "Multi-agent task allocation is a complex problem compounded by various constraints such as deadlines, agent capabilities, and communication delays. In high-stake real-time environments, such as rescue missions, it is difficult to predict in advance what the requirements of the mission will be, and what resources will be available. Yet, a fast response and speedy execution are critical to the outcome. This thesis proposes distributed optimisation techniques to tackle the following questions: how to maximise the number of assigned tasks in time restricted environments with limited resources; how to reach consensus within a reasonable time-frame; and how to allow for changeability of factors such as the availability of agents." @default.
- W2807787066 created "2018-06-21" @default.
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- W2807787066 date "2018-07-09" @default.
- W2807787066 modified "2023-09-28" @default.
- W2807787066 title "Distributed Task Allocation Optimisation Techniques" @default.
- W2807787066 hasPublicationYear "2018" @default.
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