Mathematical Theory and Modeling ISSN 2224-5804 (Paper) ISSN 2225-0522 (Online) Vol.4‚ No.1‚ 2014 www.iiste.org A comparative study of initial basic feasible solution methods for transportation problems Abdul Sattar Soomro1 Gurudeo Anand Tularam2 Ghulam Murtaa Bhayo3 dr_sattarsoomro@yahoo.co.in‚ a.tularam@griffith.edu.au‚ gmsindhi@yahoo.com 1 Professor of Mathematics‚ Institute of Mathematics and Computer Science‚ University of Sindh‚ Jamshoro‚ Sindh‚ Pakistan 2 Senior Lecturer‚ Mathematics and
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interdiction scenario with his limited resources in order to minimize the covering of the demand points. A bi-level formulation is presented to model this two-player game problem. To solve this problem we use a combination of exact linear programming optimization technique and comprehensive enumeration. To reduce the computing time a heuristic approach based on local search is proposed. Keywords: Maximal Covering Location Problem (MCLP)‚ Multi- level interdiction‚ Fortification‚ Dummy facility 1. INTRODUCTION
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Assignment Name - Pulkit Course – MMS Batch 2 Roll no. – 100 Topic : “Use of dual linear programming problem in decision making.” Applications of Linear Programming Linear programming has been applied to a wide variety of constrained optimization problems. Some of these are: Optimal process selection Most products can be manufactured by using a number of processes‚ each requiring a different technology and combination of inputs. Given input prices and the quantity of the commodity
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CS115 INTRODUCTION TO COMPUTER PROGRAMMING Programming assignment #1 Mean and Standard Deviation INTRODUCTION In this programming assignment you are required to understand the problem definition given below‚ solve the problem‚ program your solution in the C++ programming language‚ and document your solution. PROBLEM The mean (average) and standard deviation calculator allows the user to enter the name of a class and 10 scores. The calculator then displays a message as follows: SummerCS115test1:
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ask publishers to send me copies of such books. 1994 Franz Edelman Competition Videotapes SiNHA‚ GOPAL P.; MnTER‚ N.; SINGH‚ S. B.; DUTTA‚ G.; ROY‚ P. N.; CHANDRASEKARAN‚ B. S.; and CHOUDHURY‚ A. R. 1995‚ Strategic and Operational Management with Optimization in Tata Steel‚ No. 94.01‚1" VHS: $150‚1" U-Matic: $185. CosARES‚ STEVEN; DEUTSCH‚ D . ; SANIEE‚ I.; and W A S E M ‚ O . 1995‚ Copyright © 1996‚ Institute for Operations Research and the Management Sciences 0092-2102/96/2604/0078$01.25 SONET
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programming problem? Ans: Linear programming (LP‚ or linear optimization) is a mathematical method for determining a way to achieve the best outcome (such as maximum profit or lowest cost) in a given mathematical model for some list of requirements represented as linear relationships. Linear programming is a specific case of mathematical programming (mathematical optimization). More formally‚ linear programming is a technique for the optimization of a linear objective function‚ subject to linear equality
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Massimiliano Picone Born on December 25‚ 1985 in Rome‚ Italy Singularity University‚ NASA Ames - MS 20-1! Moffett Field‚ California Skype‚ Twitter: maxscience max@science.cx Education Education Singularity University‚ Graduate Studies Program - NASA Ames‚ California ! 2013! Online courses from Caltech‚ Stanford‚ MIT‚ Udacity‚ Coursera‚ edX‚ iTunes U! 2012-2013! M.Sc. in Computer Engineering‚ Summa cum laude - University of Rome “Sapienza”! 2011-2013! EU scholarship winner for the Erasmus Mundus
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Multiple-product & Various Truck Capacities Cross-docking Problem Introduction Customer demands are getting more complicated and even harder to be satisfied nowadays. It is highly needed for the company to have such flexibility‚ agility and reliability in terms of answering the demand requests from their customers. But their limitations in improving customer satisfaction might be a big problem for them and the operation of single company can have a bad impact on those of the other companies
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assign‚ in the objective function‚ coefficients to the artificial variables that are either very small (maximization problem) or very large (minimization problem); whatever this value‚ let us call it Big M. In fact‚ this notion is an old trick in optimization in general; we simply associate a penalty value with variables that we do not want to be part of an ultimate solution (unless such an outcome Is unavoidable). Indeed‚ the penalty is so costly that unless any of the respective variables’ inclusion
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CHM 510 LABORATORY REPORT Experiment 1: Gas Chromatography (GC): Optimization of Flow Rate and Column Temperature Name: AFIQ B. ANWAR Student No.: 2012621072 (AS2253A) Date of experiment: Date of report submission: Lecturer’s Name: PN. HALIZA Gas Chromatography (GC): Optimization of Flow Rate and Column Temperature INTRODUCTION The main purpose of the experiment is to investigate the effects of column temperature and flow rate on the separation of methyl esters compounds
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