Development of a problem oriented language for optimization

Date

1973

Journal Title

Journal ISSN

Volume Title

Publisher

Abstract

A problem oriented language for optimization has been developed and tested using different optimization problems. The language includes five different optimization algorithms, linear programming, convex programming, Fibonacci search, random search and flexible tolerance method. These algorithms were chosen so that the language could handle many different (nonlinear, constrained, non-convex, etc.) optimization problems. The language is structured so that the addition or deletion of subroutines can be accomplished with a minimum of effort at any stage. The language has been coded entirely in Fortran IV and hence is machine independent. The rules of the language have been kept to a minimum, so that a person with little knowledge of computer programming and optimization can use it for solving mathematical programming problems. The language can handle a problem having a maximum of 60 variables, 40 linear constraints and 9 nonlinear constraints.

Description

Keywords

Citation