Mobile crowdsensing (MCS) is a novel data-collection paradigm in the internet of things. Social welfare an important factor task allocation because it integrates interests all parties involved MCS and represents societal satisfaction. The ultimate goal to maximize social as much possible. Existing optimization research does not consider moral psychological characteristics people real world. In ...

We explore the problem of assigning heterogeneous tasks to workers with different, unknown skill sets in crowdsourcing markets such as Amazon Mechanical Turk. We first formalize the online task assignment problem, in which a requester has a fixed set of tasks and a budget that specifies how many times he would like each task completed. Workers arrive one at a time (with the same worker potentia...

Skill management in industry is one of the most important factors required in order to obtain optimal performance of the production system. This is of particular importance in the field of maintenance where the different practical knowledge or skills are the working tools used. We address, in this paper, both the assignment and scheduling problems that may be found in a maintenance service. Eac...

The fleet assignment problem (FAP) assigns the type of airplane at each flight segment. Since airplane is an expensive resource, poor fleet assignment can cause a great increase in costs of airlines. There are so many consideration which should be tackled in formulation of a FAP problem, especially the parameters regarding to the airplanes. This paper presents a novel, mixed integer programing ...

The design and organization of complex robotic systems traditionally requires laborious trial-and-error processes to ensure both hardware software components are correctly connected with the resources necessary for computation. This paper presents a novel generalization quadratic assignment routing problem, introducing formalisms selecting interconnections synthesize complete system capable pro...