%0 Journal Article
%T Genetic Algorithm-Based Optimization Approach for an Uncapacitated Single Allocation P-hub Center Problem with more realistic cost structure
%J Journal of Industrial and Systems Engineering
%I Iranian Institute of Industrial Engineering
%Z 1735-8272
%A Rabbani, Masoud
%A Farrokhi-Asl, Hamed
%A Heidari, Razieh
%D 2017
%\ 05/03/2017
%V 10
%N Issue 1
%P 108-124
%! Genetic Algorithm-Based Optimization Approach for an Uncapacitated Single Allocation P-hub Center Problem with more realistic cost structure
%K Hub Location Problem
%K Uncapacitated single allocation p-hub center problem
%K Stepwise cost function
%K Genetic algorithm
%R
%X A p-hub center network design problem is definition of some nodes as hubs and allocation of non-hub nodes to them wherein the maximum travel times between any pair of nodes is minimized. The distinctive feature of this study is proposing a new mathematical formulation for modeling costs in a p-hub center problem. Here, instead of considering costs as a linear function of distance, for the first time, we formulate costs as a summation of different parts: fixed cost, Health, Safety and Environment (HSE) cost, energy cost and personnel cost. Such integrated model results in a hard-to-solve nonlinear formulation. To validate the proposed model, a small scale problem instance of CAB dataset solved by LINGO software. Because of inability to solve bigger problems, we prepared a Genetic Algorithm (GA) by MATLAB software to solve complete problems of CAB and AP datasets.
%U http://www.jise.ir/article_33726_ced69eabc6c1864d041f8c6fcf62d3e3.pdf