Discrete Optimization with Nonseparable Functions; Determination of a Kit Composition for War Readiness Spare Parts.

Abstract

This research is intended to improve the author's previous algorithm for solving an optimization problem connected with the determination of the composition of a War Readiness Spares Kit. The problem was formulated as a discrete minimization model with two nonlinear constraint functions, of which one is nonseparable. The solution algorithm is modified in several aspects including selection of a good initial kit composition, improvements in convergence toward a global optimum and refinements in programming techniques. A branch-and-bound technique and a univariate search method are incorporated into the algorithm and a numerical example is given. Computational results show that the revised algorithm is improved in computational efficiency. However, some factors must be considered in order to enhance the capability of the algorithm for solving practical problems. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1979
Accession Number
ADA072565

Entities

People

  • Der-san Chen

Organizations

  • University of Alabama

Tags

Communities of Interest

  • Air Platforms
  • C4I
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Abstracts
  • Air Force
  • Aircrafts
  • Algorithms
  • Artificial Intelligence
  • Computations
  • Computers
  • Ecology
  • Efficiency
  • Engineering
  • Logistics
  • Operations Research
  • Probability
  • Random Variables
  • Spare Parts
  • Squadrons
  • United States

Readers

  • Analytical Chemistry
  • Logistics and Supply Chain Management.
  • Operations Research