Advances in Multicriteria Engineering Design: Computational Techniques.

Abstract

The procedure for solving large-scale, nonlinear multiobjective optimization problems requires the use of a computer coded algorithm which is both computationally efficient and mathematically valid. The multicriteria methodology, Goal Programming, has proven to be an effective technique for the solution of such problems. The problem of this study was the synthesis of the goal programming methodology into an efficient computer algorithm which could be used by the problem solver to solve a general class of nonlinear, multiobjective (NLGP) engineering design problems. Three such codes were developed into a computer package. Each code is capable of solving an NLGP problem. Each code has modifications which make it more attractive than the others for application to particular types of NLGP problems. The results show that these codes are effective tools for solving nonlinear goal programming design problems. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1980
Accession Number
ADA088570

Entities

People

  • James P. Ignizio
  • Taeyong Yang
  • Terrence L. Elchak

Organizations

  • Pennsylvania State University

Tags

Communities of Interest

  • Air Platforms
  • C4I
  • Human Systems

DTIC Thesaurus Topics

  • Aircrafts
  • Algorithms
  • Computations
  • Computer Programming
  • Computer Programs
  • Computers
  • Core Storage
  • Cycles
  • Engineering
  • Goal Programming
  • Mathematical Programming
  • Object Code
  • Plastic Explosives
  • Procedures (Computers)
  • Specifications
  • Standards
  • Systems Engineering

Fields of Study

  • Computer science

Readers

  • Operations Research