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Found 5 papers, 0 papers with code
A Schrödinger Equation for Evolutionary Dynamics
We establish an analogy between the Fokker-Planck equation describing evolutionary landscape dynamics and the Schr\"{o}dinger equation which characterizes quantum mechanical particles, showing how a population with multiple genetic traits evolves analogously to a wavefunction under a multi-dimensional energy potential in imaginary time.
Stress-Induced Mutagenesis Can Further Boost Population Success in Static Ecology
We have developed a mathematical model that captures stress-induced mutagenesis, a fundamental aspect of pathogenic and neoplastic evolutionary dynamics, on the fitness landscape with multiple relevant genetic traits as a high-dimensional Euclidean space.
Destination-aware Adaptive Traffic Flow Rule Aggregation in Software-Defined Networks
This method adapts the number of flow table entries in SDN switches according to the level of detail of traffic flow information that other mechanisms (e. g. for traffic engineering, traffic monitoring, intrusion detection) require.
Q-DATA: Enhanced Traffic Flow Monitoring in Software-Defined Networks applying Q-learning
We first describe and analyse an SDN-based traffic flow matching control system that applies a reinforcement learning approach based on Q-learning algorithm in order to maximize the traffic flow granularity.
Q-MIND: Defeating Stealthy DoS Attacks in SDN with a Machine-learning based Defense Framework
We first analyze the adversary model of stealthy DoS attacks, the related vulnerabilities in SDN-based networks and the key characteristics of stealthy DoS attacks.
