Congestion avoidance and control
SIGCOMM '88 Symposium proceedings on Communications architectures and protocols
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
TCP/IP illustrated (vol. 2): the implementation
TCP/IP illustrated (vol. 2): the implementation
Genetic programming: an introduction: on the automatic evolution of computer programs and its applications
On estimating end-to-end network path properties
Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
An updated survey of GA-based multiobjective optimization techniques
ACM Computing Surveys (CSUR)
Evolutionary Algorithms for Solving Multi-Objective Problems
Evolutionary Algorithms for Solving Multi-Objective Problems
Genetic Programming and Evolvable Machines
Genetic Algorithms for Multiobjective Optimization: FormulationDiscussion and Generalization
Proceedings of the 5th International Conference on Genetic Algorithms
Variability in TCP round-trip times
Proceedings of the 3rd ACM SIGCOMM conference on Internet measurement
Statistical analysis of TCP's retransmission timeout algorithm
IEEE/ACM Transactions on Networking (TON)
Muiltiobjective optimization using nondominated sorting in genetic algorithms
Evolutionary Computation
Performance assessment of multiobjective optimizers: an analysis and review
IEEE Transactions on Evolutionary Computation
The balance between proximity and diversity in multiobjective evolutionary algorithms
IEEE Transactions on Evolutionary Computation
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TCP is one of the fundamental components of the Internet. The performance of TCP is heavily dependent on the quality of its roundtrip time (RTT) estimator, i.e. the formula that predicts dynamically the delay experienced by packets along a network connection. In this paper we apply multi-objective genetic programming for constructing an RTT estimator. We used two different approaches for multi-objective optimization and a collection of real traces collected at themail server of our University. The solutions that we found outperform the RTT estimator currently used by all TCP implementations. This result could lead to several applications of genetic programming in the networking field.