THE 8.1-magnitude earthquake that struck Nepal on April 25 and its multiple aftershocks killed almost 9,000 and injured more than 20,000people.The Chinese government immediately set about organizing two rounds of emer...THE 8.1-magnitude earthquake that struck Nepal on April 25 and its multiple aftershocks killed almost 9,000 and injured more than 20,000people.The Chinese government immediately set about organizing two rounds of emergency humanitarian relief that provided 546 tons of relief materials worth RMB 60 million.The next morning the China International Search and Rescue Team was the first such team to arrive in Katmandu,Nepal’s capital.展开更多
This paper addresses the problem of multi-objective coalition formation for task allocation. In disaster rescue, due to the dynamics of environments, heterogeneity and complexity of tasks as well as limited available ...This paper addresses the problem of multi-objective coalition formation for task allocation. In disaster rescue, due to the dynamics of environments, heterogeneity and complexity of tasks as well as limited available agents, it is hard for the single-objective and single （task）-to-single （agent） task allocation approaches to handle task allocation in such circumstances. To this end, two multi-objective coalition formation for task allocation models are proposed for disaster rescues in this paper. First, through coalition formation, the proposed models enable agents to cooperatively perform complex tasks that cannot be completed by single agent. In addition, through adjusting the weights of multiple task allocation objectives, the proposed models can employ the linear programming to generate more adaptive task allocation plans, which can satisfy different task allocation requirements in disaster rescue. Finally, through employing the multi-stage task allocation mechanism of the dynamic programming, the proposed models can handle the dynamics of tasks and agents in disaster environments. Experimental results indicate that the proposed models have good performance on coalition formation for task allocation in disaster environments, which can generate suitable task allocation plans according to various objectives of task allocation.展开更多
文摘THE 8.1-magnitude earthquake that struck Nepal on April 25 and its multiple aftershocks killed almost 9,000 and injured more than 20,000people.The Chinese government immediately set about organizing two rounds of emergency humanitarian relief that provided 546 tons of relief materials worth RMB 60 million.The next morning the China International Search and Rescue Team was the first such team to arrive in Katmandu,Nepal’s capital.
文摘This paper addresses the problem of multi-objective coalition formation for task allocation. In disaster rescue, due to the dynamics of environments, heterogeneity and complexity of tasks as well as limited available agents, it is hard for the single-objective and single （task）-to-single （agent） task allocation approaches to handle task allocation in such circumstances. To this end, two multi-objective coalition formation for task allocation models are proposed for disaster rescues in this paper. First, through coalition formation, the proposed models enable agents to cooperatively perform complex tasks that cannot be completed by single agent. In addition, through adjusting the weights of multiple task allocation objectives, the proposed models can employ the linear programming to generate more adaptive task allocation plans, which can satisfy different task allocation requirements in disaster rescue. Finally, through employing the multi-stage task allocation mechanism of the dynamic programming, the proposed models can handle the dynamics of tasks and agents in disaster environments. Experimental results indicate that the proposed models have good performance on coalition formation for task allocation in disaster environments, which can generate suitable task allocation plans according to various objectives of task allocation.
