Abstract
A new software that supports research on algorithms for resource allocation in multi-commodity markets is presented. Thanks to a much more general data model used, and possibility of plugging in external optimization engines, various solvers can be used to extend the functionality of the platform. The software functionality is focused on supporting researchers in the algorithm engineering process, facilitating e.g. analysis and comparison of market strategies. An example application of the software to travelling salesman problem, solved by many agents, is presented.
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Kamola, M. (2012). Software Environment for Market Balancing Mechanisms Development, and Its Application to Solving More General Problems in Parallel Way. In: Jónasson, K. (eds) Applied Parallel and Scientific Computing. PARA 2010. Lecture Notes in Computer Science, vol 7133. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28151-8_23
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DOI: https://doi.org/10.1007/978-3-642-28151-8_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28150-1
Online ISBN: 978-3-642-28151-8
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