Алгоритм декомпозиції для розв’язання оптимізаційних задач розміщення
The paper considers a placement problem of 2D convex objects in a rectangular domain of minimum area, that related to the field of Packing and Cutting problems. Our objects may be continuously translated and rotated. A nonlinear programming model of the problem is derived using the phi-function tech...
Збережено в:
Дата: | 2019 |
---|---|
Автори: | , |
Формат: | Стаття |
Мова: | English |
Опубліковано: |
Kamianets-Podilskyi National Ivan Ohiienko University
2019
|
Онлайн доступ: | http://mcm-tech.kpnu.edu.ua/article/view/173759 |
Теги: |
Додати тег
Немає тегів, Будьте першим, хто поставить тег для цього запису!
|
Назва журналу: | Mathematical and computer modelling. Series: Technical sciences |
Репозиторії
Mathematical and computer modelling. Series: Technical sciencesРезюме: | The paper considers a placement problem of 2D convex objects in a rectangular domain of minimum area, that related to the field of Packing and Cutting problems. Our objects may be continuously translated and rotated. A nonlinear programming model of the problem is derived using the phi-function technique. We develop an efficient decomposition algorithm to search for local optimal solutions for the placement problem. The algorithm reduces our problem to a sequence of nonlinear programming subproblems of considerably smaller dimension and a smaller number of nonlinear inequalities. The benefit of this approach is borne out by the computational results |
---|