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 |
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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