Abstract: Methods and systems for generating an optimized multi-layer network topology for a set of services. The method comprising generating one or more candidate service path vectors providing a single or multi-layer path for each service; identifying, for each candidate service path vector, a multi-layer topology from a set of network resources to support the paths provided in that candidate service path vector; generating a fitness value, for each candidate service path vector, the fitness value indicating the extent to which the candidate service path vector and the identified multi-layer topology for that candidate service path vector meet one or more constraints; and iteratively evolving the one or more service path vectors until a stop condition is satisfied.

Abstract: Methods and systems for generating a network topology that satisfies one or more service requirements under one or more constraints. The method comprises generating a set of candidate network topologies from a set of network resources, evaluating each of the candidate network topologies based on one or more constraints and one or more service requirements, and determining if a stop condition is satisfied. If the stop condition is not satisfied then the set of candidate network topologies is updated. If, however, the stop condition is satisfied then the best candidate network topology based on the evaluation is selected as the network topology.

Abstract: A system for determining an optimal schedule for transmitting data from a source node to a destination node in a telecommunications network. The source node is connected to a plurality of egress links. The system comprises a schedule generator for generating a plurality of candidate schedules.

Abstract: Methods and systems for determining a network topology for each of a plurality of demand scenarios. The method includes identifying, using an iterative process that involves generating and evolving a set of candidate network topologies, a network topology for the highest demand scenario. A network topology is then identified for the next highest demand scenario using the same iterative process, but this time the set of candidate network topologies is seeded to include the identified network topology for the highest demand scenario. This process repeats for each other demand scenario so that the set of candidate network topologies for a particular demand scenario is seeded with the identified network topology for the next highest demand scenario.

Abstract: Methods and systems for determining the topology of a network having variable traffic demands over a plurality of time periods. The method comprises generating a set of candidate network topologies from a set of network resources including a candidate network topology that satisfies each requirement for each service over the time periods. Each candidate network topology is then evaluated against one or more constraints for the set of service requirements for each time period. It is then determined if a stop condition is satisfied. If the stop condition is not satisfied then the set of candidate network topologies is evolved. If, however, the stop condition is satisfied then the best candidate network topology based on the evaluation is selected as the network topology.