A TABU SEARCH APPROACH FOR THE BI-OBJECTIVE HOSPITAL SITE DETERMINATION PROBLEM UNDER FUZZY ENVIRONMENT
Journal Title: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY - Year 2017, Vol 16, Issue 4
Abstract
The present paper attempts to study the bi-objective hospital site determination problem under fuzzy environment. In this paper, the concept of Tabu search is used for solving bi-objective facility location problem i.e. the most suitable hospital site to be searched out of the various possible sites nearest to the accidental prone areas so as to minimize the total transportation cost along with the transportation time using triangular fuzzy numbers. For this, we first search the hospital sites near accidental prone areas and then on the basis of that we obtain various optimal solutions with different transportation costs and times.
Authors and Affiliations
Nidhi Joshi, Surjeet Singh Chauhan, Raghu Raja
Security Frameworks: A Study on Different Approaches for the Internet of Things
This paper provides an overview of some of the major works that focus on the use of security frameworks for Internet of Things environment to facilitate the development of applications for this scenario. The Internet of...
LOAD BALANCING ISSUES AND ITS SOLUTION IN CLOUD COMPUTING: A REVIEW
Cloud computing is an emerging paradigm in the computer industry where the computing is moved to a cloud of computers. Cloud computing is a way to increase the capacity or add capabilities dynamically without investing i...
Introduction to Cloud Computing
The Cloud computing is a fastest growing area in IT industry, computing and research industry. Cloud is a pool of virtualized computer resources .A cloud can support self-redundant, self-recovering and scalable programmi...
Composite Lowpass Filter Realized by Image Parameter method and Integrated with Defected Ground Structures
An asymmetric DGS consisting of two square headed slots connected transversely with a rectangular slot is etched in the ground plane underneath a high-low impedance microstrip line. It provides a band-reject filtering...
Predicting the Fiber diameter of Spunbonding Nonwovens Via Empirical Statistical methods and Neural Network Model
In this paper, the empirical statistical and artificial neural network methods are established. We present a comparative study of two modeling methodological for predicting the fiber diameter of spunbonding nonwovens fro...