Abstract ： This paper presents an optimization modeling technique to develop an evacuation plan for transit-dependent residents during in the event of natural disaster such as the emergency hurricane situation. The transit evacuation operation problem is formulated as a class of location-routing problem (LRP) with uncertain demands. The objective function is set to minimize the total evacuation time. The LRP problem identifies the optimal serving areas and transit vehicle routings to move evacuees from the flooding affected zone to designated shelters or safe destinations. The computational experience is presented on the application of hybrid genetic algorithms, artificial neural network, and hill climbing heuristic algorithms. Numerical experiments are conducted using the real survey data from Gulfport, MS, to illustrate the proposed modeling technique. Experimental results show that the hybrid GA performs well both in quality and efficiency than traditional GA.
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Since you are trying to do fault isolation, to fix the problem and not the blame, any differences in the local and remote agent response times immediately identifies network slowdowns.
您的目的是尽量找出故障，修复问题，避免受到指责，而如果本地与远程代理响应时间有任何差别，则立刻可以确定是网络速度降低。
This artifact identifies a problem to be solved and evaluates alternative mechanisms to address the problem.
此构件确定要解决的问题，并评估备选机制以解决该问题。
New research identifies the specific parts of the brain responsible for solving this everyday problem.
一项新的研究就证实在人脑的一些特定的器官能帮我们解决这一常见问题。
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