Ozetge-Giivenlik ama�h askeri harekatlarda silahlar insanslz sistemlere ente g re edilerek etkinligin artlrIlmasl ve operasyon siiresinin klsaltllmasl ama�lanmaktadlr. Savunma sistemlerinde insan saghgml tehlikeye dii�iirebilecek ortamlarda yapIlan i�lerde, maym tarama ve imha g orevlerinde insanslz ara�lar kullamlmaktadlr. Maymh araziler insan hayatl i�in risklidir ve imhasl maliyetlidir. Bu �ah�mada yerleri tespit edilmi� olan maymlarm imhasmda maliyet ve siireyi optimize etmek ama�lanmaktadlr. Bu problemin �oziimii i�in g ez g in sahcl problemi ve g er�ek diinya problemine uy g unlugu i�in ii� boyutluluk esas ahnml�tlr. <;:ah�mada kiire iizerine ii� boyutlu olarak rast g ele yerle�tirilen diigiimlere g enetik al g oritma yontemi uy g ulanml�tlr.Abstract-In military operations, improvin g the efficiency and shortenin g the duration of the operation is intended for security by inte g ratin g weapons to unmanned systems. Unmanned vehicles are used for works that could endan g er human health in defense systems, mine detection and the task of destruction. Mined land is risky to human life and destruction is costly. In this study, it is aimed to optimize cost and time in destruction of mines that have been located.Travelin g Salesman Problem was used to solve the problem and three-dimensionality is based on for suitability to real world problems. In this study, g enetic al g orithm method is applied to node placed randomly on a three-dimensional sphere.
During a natural disaster, risk management for the evacuation of people in high-rise buildings is very important for saving lives. In the case of fire, all parameters such as detection, lighting, warning systems, etc. for safety must be used interactively. Determination of evacuation conditions and different ways out are important parameters during the fire. In this study, a system is proposed for evacuating people from building with the shortest/safest route, taking into account certain factors to evaluate the current situation of the fire. Travelling Salesman Problem (TSP) may be adapted to this real-life problem to protect people in the shortest time finding optimum route. In this study, the system based on Genetic Algorithm is performed using the online information about smoke, heat and safety level, the location of fire and the potential congestion of people in order to evacuate people from the building with safety route. The system contains two-and three-dimensional surface applications to ensure evacuation with optimum distance inside/outside of the building. Results are evaluated considering the evacuation distance. Compared to other methods in the literature, the solution to this problem is improved by adding the evacuation process for the elevator and inside of the building.
Her yıl binlerce insan çeşitli afetlerde olay yerine ulaşılamadan hayatını kaybetmektedir. Arama kurtarma faaliyetlerinde; olay yerine hızlı ulaşım, anında müdahalenin yapılması ve hızlı kurtarım planlarının sağlanması durumlarında ölümler belirli oranda azaltılabilmektedir. Araştırmacılar arama kurtarma faaliyetlerini kolaylaştırmak ve daha verimli bir hale getirmek için sürekli iyileştirmeler yapmaktadır. Bu çalışmada; olası bir afette veya canlı hayatını tehlikeye düşüren durumlarda arama ve kurtarma ekiplerinin tehlikeye uğramış canlıların olduğu bölgeye en kısa sürede ulaşması problemi literatürde geniş yer bulan Gezgin Satıcı Problemine benzetilmiştir. Makalede, Genetik Algoritma Yönteminin 3 boyutlu küre yüzeyine uygulanması ile arama kurtarma çalışmalarında yeryüzündeki yükseklik ve derinlik hesaba katılarak daha gerçekçi sonuçların elde edilmesi hedeflenmiştir.
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