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Yayın A genetic algorithm for final exam scheduling of Işık University(Işık Üniversitesi, 2013-05-07) Yıldırım, Seda; Atan, Sabri Tankut; Işık Üniversitesi, Fen Bilimleri Enstitüsü, Endüstri Mühendisliği Yüksek Lisans ProgramıExam timetabling is a widely encountered scheduling problem at educational institutions. Typically, exam timetabling problems involve some hard constraints and several soft constraints that may vary from one institution to another. One of the soft constraints is that as few students as possible should have more than a predefined number of exams on the same day. At Isik University, if students have more than two exams on the same day they are allowed to ask for makeup exams for the extra exams. While integer programming formulations with other constraints of Isik University could be solved to optimality via commercial solvers, incorporating the daily exam limitation rule proved to be intractable. Hence a genetic algorithm was developed. Using data from several semesters, numerical experiments were conducted to tune the developed genetic algorithm's parameters and test it. The new metaheuristic algorithm was also coded in Java programming language and integrated into finexa, the internally developed exam timetabling software at Isik University.Yayın An automatic calibration procedure of driving behaviour parameters in the presence of high bus volume(Faculty of Transport and Traffic Engineering, 2019-11) Dadashzadeh, Nima; Ergün, Murat; Kesten, Ali Sercan; Zura, MarijanMost of the microscopic traffic simulation programs used today incorporate car-following and lane-change models to simulate driving behaviour across a given area. The main goal of this study has been to develop an automatic calibration process for the parameters of driving behaviour models using metaheuristic algorithms. Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and a combination of GA and PSO (i.e. hybrid GAPSO and hybrid PSOGA) were used during the optimization stage. In order to verify our proposed methodology, a suitable study area with high bus volume on-ramp from the 0-1 Highway in Istanbul has been modelled in VISSIM. Traffic data have been gathered through detectors. The calibration procedure has been coded using MATLAB and implemented via the VISSIM-MATLAB COM interface. Using the proposed methodology, the results of the calibrated model showed that hybrid GAPSO and hybrid PSOGA techniques outperformed the GA-only and PSO-only techniques during the calibration process. Thus, both are recommended for use in the calibration of microsimulation traffic models, rather than GA-only and PSO-only techniques.
