Global optimization of mixed integer signomial fractional programing problems

Autor:	Jaleh Shirin Nejad, Mansour Saraj, Sara Shokrolahi Yancheshmeh, Fatemeh Kiany Harchegani
Jazyk:	angličtina
Rok vydání:	2024
Předmět:	Control engineering systems. Automatic machinery (General) TJ212-225 Technology (General) T1-995
Zdroj:	Measurement + Control, Vol 57 (2024)
Druh dokumentu:	article
ISSN:	0020-2940 00202940
DOI:	10.1177/00202940231217340
Popis:	The main issue in the present article is to investigate how to solve a mixed integer fractional signomial geometric programing problem (MIFSGP). In the first step to achieving this idea, we must convert a fractional signomial programing problem into a non-fractional problem via a simple conversion technique. Then, a convex relaxation with a new modified piecewise linear approximation with integer break points as a pre-solve method is used to reach an integer global optimum solution. A few numerical examples are included to illustrate the advantages of the proposed method
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/4d20fcc4e5bb45d8ab2088a34601a97f Zobrazit plný text záznamu View record in DOAJ