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Investigation of Simulated Trading — A multi agent based trading system for optimization purposes

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  • Schneider, Johannes J.

Abstract

Some years ago, Bachem, Hochstättler, and Malich proposed a heuristic algorithm called Simulated Trading for the optimization of vehicle routing problems. Computational agents place buy-orders and sell-orders for customers to be handled at a virtual financial market, the prices of the orders depending on the costs of inserting the customer in the tour or for his removal. According to a proposed rule set, the financial market creates a buy-and-sell graph for the various orders in the order book, intending to optimize the overall system. Here I present a thorough investigation for the application of this algorithm to the traveling salesman problem.

Suggested Citation

  • Schneider, Johannes J., 2010. "Investigation of Simulated Trading — A multi agent based trading system for optimization purposes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(14), pages 2816-2824.
    • Handle: RePEc:eee:phsmap:v:389:y:2010:i:14:p:2816-2824
    DOI: 10.1016/j.physa.2010.02.054
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    References listed on IDEAS

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    1. Ransberger, Martin & Morgenstern, Ingo & Schneider, Johannes J., 2011. "Influence of rounding errors on the quality of heuristic optimization algorithms," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(13), pages 2571-2581.

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