http://repository.iitr.ac.in/handle/123456789/10357
Title: | Maximisation of expected target damage value |
Authors: | Deep, K. Pant M. |
Published in: | Defence Science Journal |
Abstract: | The weapon assignment problem has been modelled as a nonlinear integer programming problem1, The problem is to assign weapons to the targets to maximise the optimum-target damage value. There are constraints on various types of weapons available and on minimum number of weapons by types to be assigned to various targets. The objective function is nonlinear, the constraints are linear in nature, and the decision variables are restricted to be integers, The results obtained by Bracken and McCormick1 should not be applied to solve the problem of weapon assignment to target to maximise the optimum target damage value, because firstly, the results violate the constraints, and secondly, instead of using the integer programming techniques, the crude method of rounding off has been used to obtain the solution. In this study, the I-GRST algorithm developed by Deep and Pant2,3 has been used to solve the weapon assignment problem. The results obtained are better than the results obtained by Bracken and McCormick1 and also do not violate any constraints. © 2005, DESIDOC. |
Citation: | Defence Science Journal (2005), 55(2): 133-139 |
URI: | https://doi.org/10.14429/dsj.55.1977 http://repository.iitr.ac.in/handle/123456789/10357 |
Issue Date: | 2005 |
Publisher: | Defense Scientific Information and Documentation Centre |
Keywords: | Genetic algorithm I-GRST algorithm Integer programming problems Optimisation Target damage Weapon assignment |
ISSN: | 0011748X |
Author Scopus IDs: | 8561208900 23467551900 |
Author Affiliations: | Deep, K., Indian Institute of Technology, Roorkee-241 667, India, Dept. of Mathematics, Indian Institute of Technology. (IIT), Roorkee, India Pant, M., Indian Institute of Technology, Roorkee-241 667, India |
Corresponding Author: | Deep, K.; Indian Institute of Technology, Roorkee-241 667, India |
Appears in Collections: | Journal Publications [MA] |
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