Multi-agent solutions for task-based resource management under multiple constraints in disaster environments

In the last twenty years, disasters throughout the world have become important social and political concerns. In disaster environments, heterogenous resources with limited energy and capabilities need to be allocated to tasks under multiple constraints. Hence, how to effectively and efficiently manage such resources to complete as many tasks as possible is an important and challenging research topic. This thesis aims at (1) investigating challenging issues of resource management in disaster environments and (2) developing multi-agent approaches to achieve efficient task-based resource management in disaster environments. In the thesis, four multi-agent approaches are proposed and developed to achieve effective and efficient resource management in disaster environments.