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    Outlier Detection Using the Multiobjective Genetic Algorithm
    (Wydawnictwo Politechniki Łódzkiej, 2017) Duraj, Agnieszka; Chomątek, Łukasz
    Since almost all datasets may be affected by the presence of anomalies which may skew the interpretation of data, outlier detection has become a crucial element of many datamining applications. Despite the fact that several methods of outlier detection have been proposed in the literature, there is still a need to look for new, more effective ones. This paper presents a new approach to outlier identification based on genetic algorithms. The study evaluates the performance and examines the features of several multiobjective genetic algorithms.
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    Parallel hierarchies for solving Single Source Shortest Path problem
    (Wydawnictwo Politechniki Łódzkiej, 2013) Chomątek, Łukasz
    The problem of route optimization is significant due to the fact of the high availablity of private transport as well as the need of efficient utilization of the corporate fleet. Optimal route can have different meaning for different users. In the existing algorithms designed for finding optimal route between two points on the map, hardly any preferences are reflected. In this article we present efficient algorithm for finding optimal route between points on the map which is designed to conforms Users’ needs.

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