Optimization algorithms are an approach to solving many problems in everyday life and usually to find the optimal solution for problems with a large solution space. In this study, an optimal route detection approach was developed using the clonal selection algorithm which is a sub-method of the artificial immune system. For this purpose, the road passenger transport network obtained from Erzurum Metropolitan Municipality has been modeled and a bus line which is selected and used from this network has been examined by clonal selection algorithm. The optimization method developed for the proposed approach was implemented in the MATLAB environment and the results obtained are plotted comparatively on Google Maps. The performance of the proposed method was tested and a performance improvement of about 10% was achieved according to the results obtained.
In recent years, intelligent systems have emerged with the concept of the Internet of Things. The purpose of intelligent systems is to use technological innovations to improve the quality of life of people. Smart systems are now being used almost everywhere. Concepts such as smart city, smart classroom, smart library, smart hospital and smart transportation have emerged.With the cameras, sensors and many other devices used in smart systems, data from the environment can be analyzed and remote control operations can be performed. In this study, RFID based authorization system has been developed in the publicly available computers used in smart libraries. In many places, as in universities, there are common computers or laboratory devices that can be used by everyone. The aim of this study is to ensure the common use of devices belonging to common use against existing users. The devices are controlled by an RFID based system developed for these devices. Using the ID cards of the students or staff, the person is authorized to use the devices for the defined period of time. This study has two main contributions. First, a modular system compatible with all electronic devices except the computer has been made by using RFID technology. The second is to provide a more efficient working environment by ensuring fair use of computers and other devices accessible.
Amaç –Çalışmanın temel amacı, borsada işlem gören BİST-30 şirketlerinin Eylül 2019-Ağustos 2021 yılları arasındaki satışları incelenerek belirlenen kriterlere göre en iyi portföyün seçilmesidir. Yöntem –Bist-30 şirketlerinden elde edilen veriler MATLAP platformuna aktarılarak geliştirilen Karınca Koloni Algoritması ile analiz edilmiş ve optimum portföy hesaplanmaya çalışılmıştır. Şirketlerin verileri Borsa İstanbul adresinden alınmış ve şirketler 1’den 30’a kadar numaralandırılmıştır. Kullanıcıların belirlediği risk değerlerine göre sistem çalıştırılmış ve optimum portföyler belirlenmiştir.Bulgular –Araştırmada alınan risk katsayısıϬ(Sigma) ile gösterilmiştir. Çalışma sonucundaϬ=0.20 olduğu durumlarda seçilen portföyün 14 adet olması beklenmektedir.Alınan risk katsayısı yükseldikçe seçilmesi gereken portföy seçiminin arttığı görülmektedir. Bu durum aslında risk katsayısı arttıkça geliştirilen algoritmasının performansının düştüğünü göstermektedir. Bu sonuçlara göre karınca koloni algoritması ile portföy seçimi için büyük ölçüde değişimler yaşanmış ve bu değişimlere bağlı olarak risk ve getiri eğrisinde değişimler gözlemlenmiştir.Tartışma –Çalışma kapsamında gerçekleştirilen Karınca Koloni Algoritması tabanlı portföy seçiminde elde edilen sonuçlara bakıldığında özellikle Ϭ=0.20 olduğu durumlarda oldukça verimli sonuçlar verdiği gözlemlenmiştir. Ayrıca kullanıcılara bırakılmış olan risk ve getiri değerlerinin seçimi için 6 farklı katsayıda bu algoritmanın performansı değerlendirilmiştir.
This study aims to examine, regulate, and update the land transportation of the Erzurum Metropolitan Municipality (EMM), Turkey using computerized calculation techniques. In line with these targets, some critical information has been obtained for study: the number of buses, the number of expeditions, the number of bus lines, and the number and maps of existing routes belonging to EMM. By using the information that has been obtained, this study aims at outlining specific outputs according to the input parameters, such as determining the optimal routes, the average travel, and the journey time. Once all of these situations were considered, various optimization algorithms were used to get the targeted outputs in response to the determined input parameters. In addition, the study found that the problem involved in modeling the land transport network of the EMM is in line with the so-called "traveling salesman problem," which is a scenario about optimization often discussed in the literature. This study tried to solve this problem by using the genetic algorithm, the clonal selection algorithm, and the DNA computing algorithm. The location data for each bus stops on the bus lines selected for the study were obtained from the EMM, and the distances between these coordinates were obtained by using Google Maps via a Google API. These distances were stored in a distance matrix file and used as input parameters in the application and then were put through optimization algorithms developed initially on the MATLAB platform. The study's results show that the algorithms developed for the proposed approaches work efficiently and that the distances for the selected bus lines can be shortened.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.