Parallel Algorithm Portfolio with Market Trading-Based Time Allocation

Dimitris Souravlias (), Konstantinos E. Parsopoulos () and Enrique Alba ()
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Dimitris Souravlias: University of Ioannina
Konstantinos E. Parsopoulos: University of Ioannina
Enrique Alba: University of Malaga

A chapter in Operations Research Proceedings 2014, 2016, pp 567-574 from Springer

Abstract: Abstract We proposeAlba, Enrique a parallel portfolio of metaheuristic algorithms thatParsopoulos, Konstantinos E. adoptsSouravlias, Dimitris a market trading-based time allocation mechanism. This mechanism dynamically allocates the total available execution time of the portfolio by favoring better-performing algorithms. The proposed approach is assessed on a significant Operations Research problem, namely the single-item lot sizing problem with returns and remanufacturing. Experimental evidence suggests that our approach is highly competitive with standard metaheuristics and specialized state-of-the-art algorithms.

Keywords: Execution Time; Particle Swarm Optimization; Differential Evolution; Planning Horizon; Master Node (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:spr:oprchp:978-3-319-28697-6_79

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DOI: 10.1007/978-3-319-28697-6_79

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