TY - JOUR
ID - 33726
TI - Genetic Algorithm-Based Optimization Approach for an Uncapacitated Single Allocation P-hub Center Problem with more realistic cost structure
JO - Journal of Industrial and Systems Engineering
JA - JISE
LA - en
SN - 1735-8272
AU - Rabbani, Masoud
AU - Farrokhi-Asl, Hamed
AU - Heidari, Razieh
AD - School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran
AD - School of Industrial Engineering, Iran University of Science & Technology, Tehran, Iran
AD - School of Industrial Engineering, College of Engineering, University of Tehran
Y1 - 2017
PY - 2017
VL - 10
IS - Issue 1
SP - 108
EP - 124
KW - Hub Location Problem
KW - Uncapacitated single allocation p-hub center problem
KW - Stepwise cost function
KW - Genetic algorithm
DO -
N2 - 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.
UR - http://www.jise.ir/article_33726.html
L1 - http://www.jise.ir/article_33726_ced69eabc6c1864d041f8c6fcf62d3e3.pdf
ER -