The paper discusses the location-allocation model for logistic networks and distribution centers through considering uncertain parameters. In real-world cases, demands and transshipment costs change over the period of the time. This may lead to large cost deviation in total cost. Scenario based robust optimization approaches are proposed where occurrence probability of each scenario is not know...

The deployment of edge computing infrastructure requires a careful placement the servers, with an aim to improve application latencies and reduce data transfer load in opportunistic Internet Things systems. In server placement, it is important consider capacity, available budget, hardware requirements for servers underlying backbone network topology. this paper, we thoroughly survey existing li...

Location-allocation modeling has always been regarded as a core part of spatial analysis. A review the literature, however, reveals that, nevertheless, publications related to facility location disappeared almost completely from geographic journals in meantime. It can be assumed that one major reason for this development is limited capability location-allocation modules implemented GIS packages...

Entitled: Metaheuristics for multiobjective capacitated location allocation on logistics networks and submitted in partial fulfillment of the requirements for the degree of complies with the regulations of the University and meets the accepted standards with respect to originality and quality. ABSTRACT Metaheuristics for multiobjective capacitated location allocation on logistics networks Yongl...

A new guideline for proper allocation of multipoles in the multiple multipole method (MMP) is proposed. In an ‘a posteriori’ approach, subspace fitting (SSF) is used to find the best location of multipole expansions for the two dimensional dielectric scattering problem. It is shown that the best location of multipole expansions (regarding their global approximating power) coincides with the med...