Solving the response time variability problem by means of a psychoclonal approach |
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Authors: | Alberto García-Villoria Rafael Pastor |
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Institution: | 1.Institute of Industrial and Control Engineering,Technical University of Catalonia (UPC),Barcelona,Spain |
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Abstract: | The response time variability problem (RTVP) is a combinatorial scheduling problem that has recently appeared in the literature.
This problem has a wide range of real life applications in fields such as manufacturing, hard real-time systems, operating
systems and network environments. Originally, the RTVP occurs whenever products, clients or jobs need to be sequenced in such
a way that the variability in the time between the instants at which they receive the necessary resources is minimized. Since
the RTVP is hard to solve, heuristic techniques are needed for solving it. Three metaheuristic—multi-start, GRASP and PSO—algorithms
proposed for solving the RTVP in two previous studies have been the most efficient to date in solving non-small instances
of the RTVP. We propose solving the RTVP by means of a psychoclonal algorithm based approach. The psychoclonal algorithm inherits
its attributes from Maslow’s hierarchy of needs theory and the artificial immune system (AIS) approach, specifically the clonal
selection principle. In this paper, we compare the proposed psychoclonal algorithm with the three aforementioned metaheuristic
algorithms and show that, on average, the psychoclonal algorithm strongly improves on the results obtained. |
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