TY - JOUR
ID - 24517
TI - Efficient methods for goal square Weber location problem
JO - Iranian Journal of Numerical Analysis and Optimization
JA - IJNAO
LA - en
SN - 2423-6977
AU - Fathali, J.
AU - Jamalian, A.
AD - Department of Mathematics, Shahrood University of Technology, University Blvd., Shahrood, Iran.
AD - Department of Computer Scince, Faculty of Mathematical Sciences, University of Guilan, Rasht, Iran.
Y1 - 2017
PY - 2017
VL - 7
IS - 1
SP - 65
EP - 82
KW - Location theory
KW - Weiszfeld method
KW - Particle swarm optimization
DO - 10.22067/ijnao.v7i1.52961
N2 - In this paper, we consider a special case of Weber location problem which we call goal location problem. The Weber location problem asks to ﬁnd location of a point in the plane such that the sum of weighted distances between this point and n existing points is minimized. In the goal location problem each existing point Pi has a relevant radius ri and it’s ideal for us to locate a new facility on the distance ri from Pi for i = 1, ..., n. Since in the most instances there does not exist the location of a new facility such that its distance to each point Pi be exactly equal to ri. So we try to minimize the sum of the weighted square errors. We consider the case that the distances in the plane are measured by the Euclidean norm. We propose a Weiszfeld like algorithm for solving the problem and also we use two modiﬁcations of particle swarm optimization method for solving this problem. Finally the results of these algorithms are compared with results of BSSS algorithm.
UR - https://ijnao.um.ac.ir/article_24517.html
L1 - https://ijnao.um.ac.ir/article_24517_bf85231e6bf925fd47b5f44be9f845e2.pdf
ER -