Presenting the Multi-Objective Optimization Model of Search and Rescue Network

Autor:	Mashum Billal, Maryam Maleki
Rok vydání:	2021
Předmět:	Cover (telecommunications) business.industry Computer science computer.software_genre Multi-objective optimization Toolbox Weighting Software A priori and a posteriori Data mining business MATLAB computer Search and rescue computer.programming_language
Zdroj:	International journal of Science and Engineering Applications. 10:040-044
ISSN:	2319-7560
DOI:	10.7753/ijsea1004.1003
Popis:	The Search and Rescue Network (SAR) is a kind of emergency network that pursuit people in need or imminent danger. This paper aims using a priori optimization to demonstrate the optimal assignment of HFDF receivers to the Generalized Search and Rescue (GSAR) network, which is independent of the weighting of the transmitter areas. The mathematical model seeks two objectives, the first one is maximizing the expected number of LOBs for HFDF receivers. The second is providing a fair share number of HFDF receivers allowed to cover the frequency. The result shown the efficiency of presented model ran by CPLEX toolbox of MATLAB 2020 software.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::730470ddcec3917370dc8180609e7caf https://doi.org/10.7753/ijsea1004.1003 Zobrazit plný text záznamu