Abstract
A new GA based solution for capacitated multi source Weber problem Nazila Mohammadi
Highlights
Facility location is a branch of operations research concerning optimal placement of facilities
The main purpose of this paper is to present a method for solving the problem of Capacitated multisource Weber problem (MSWP) (CMSWP) class
Chromosome selection for Generation: It is common in optimization methods to find that the OF value is extremely sensitive to one parameter, whilst large changes are still needed in another parameter
Summary
Facility location is a branch of operations research concerning optimal placement of facilities. In a simple facility location problem a single facility is to be placed, subject to the minimization of the sum of distances from a given set of sites. More complex problems considers the placement of multiple facilities, constraints on the locations of numerous facilities, and various complex optimization criteria.[1] Recent decades witness huge improvements in computational research and information technology and as such, the application of Geospatial Information Systems (GIS) in facility location is increased exponentially.[2] Spatial scientists are continuously working on mathematical modeling and solution of problems concerning the placement of facilities to minimize transportation costs, prevent placing hazardous materials near housing, outrun competitors' facilities, etc. Bischoff et al.[3] formulated several objective
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