Abstract
In this paper a novel method is developed for the numerical solution of a non-linear mixed discrete programming problem. The problem is first transformed into another mixed zero-one discrete optimization problem by replacing each of the discrete variables by a set of new variables with a linear constraint. Each of the new discrete variable sets is then made continuous on [0, 1] by introducing a quadratic constraints. Thus the original mixed discrete problem is transformed into a continuous nonlinear optimization problem with constraints. The numerical experiments, performed to demonstrate the effectiveness of the method, show that the method is superior to the previous ones.
| Original language | English |
|---|---|
| Pages (from-to) | 249-262 |
| Number of pages | 14 |
| Journal | Engineering Optimization |
| Volume | 30 |
| Issue number | 3-4 |
| DOIs | |
| Publication status | Published - 1 Jan 1998 |
| Externally published | Yes |
Keywords
- Mixed discrete variables
- Nonlinear programming
ASJC Scopus subject areas
- Computer Science Applications
- Control and Optimization
- Management Science and Operations Research
- Industrial and Manufacturing Engineering
- Applied Mathematics