Abstract The shortest path problem (SPP) is a special network structured linear programming that appears in wide range of applications. Classical SPPs consider only one objective the networks while some or all multiple, conflicting and incommensurate objectives such as optimization cost, profit, time, distance, risk, quality service may arise together real-world These types are known multi-obje...

Smart data selection can quickly sieve valuable information from initial data. Doing so improves the efficiency of analyzing situations to aid in better decision-making. Past methods have mostly been based on expert experience, which may be subjective and inefficient when dealing with large, complex datasets. Recently, system analysis method has exploited find key However, few studies address i...

As a kind of first aid healthcare service, emergency medical services (EMSs) present high spatiotemporal sensitivity due to significant changes in the time-dependent urban environment. Taking full advantage big data realize multiperiod relocation optimization EMSs can reduce idle resources and improve service utilization efficiency fairness. First, we established dynamic accessibility equality ...

Edge-Cloud Datacenters (ECDCs) have been massively exploited by the owners of technology and industrial centers to satisfy user demand. At same time, amount energy used these data is considerable. To address this challenge, Virtual Machine (VM) placement ECDCs plays an important role; therefore, assigning VM properly physical machines (PM) can significantly decrease consumption. The applied tec...