T. Tezcan

Learn More
In this paper, we use a learning automata search technique (LAST), which is based on game theory, to solve the optimal buffer allocation problem in production lines. We have incorporated the search algorithm within a simulator in order to optimize the performance of a production line. We have conducted experiments with this algorithm on some problems for(More)
—This paper presents a dangerous low-cost traffic analysis attack in packet-based networks, such as the Internet. The attack is mountable in any scenario where a shared routing resource exists among users. A real-world attack successfully compromised the privacy of a user without requiring significant resources in terms of access, memory, or computational(More)
— This paper presents a nefarious low-cost traffic analysis attack in packet-based networks, such as the Internet. The attack is mountable in any scenario where a shared routing resource exists among users. A real-world attack successfully compromised the privacy of a user without requiring significant resources in terms of access, memory, or computational(More)
In recent times, a number of machine-learning and pattern-recognition methods have been used to solve operations-management problems in the real world. In this report, we focus on a powerful learning automata algorithm, from the field of pattern-recognition and machine vision, to solve stochastic discrete-optimization problems encountered in the industry.(More)
  • 1