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The requirements for quality of service (QoS) of applications in networks are becoming stricter. Toward to solve the routing problem in IP networks, MPLS architecture allows to define explicit routes in the network. This paper describes a multi-objective heuristic approach to solve the routing problem in MPLS networks. An evolutionary multi-objective algorithm is proposed based on Dijkstra's shortest...
This article considers the bi-objective job shop scheduling problem in which the make span and the total tardiness of jobs are minimized. In order to find a set of dominant solutions, that is, an approximation of the Pareto optimal solutions, we propose three versions of a genetic algorithm with techniques like hybridization with local search, path relinking and elitism. The three versions of the...
Learning classifier systems (LCSs) have gained increasing interest in the genetic and evolutionary computation literature. Many real-world problems are not conveniently expressed using the ternary representation typically used by LCSs and for such problems an interval-based representation is preferable. The new model of LCS - so-called rGCS - is used to classify real-valued data. In order to handle...
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