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Abstract

This chapter presents the dipsAgent approach which optimizes the planning and control processes in transport logistics and allows handling domain-specific demands in complex and dynamic environments. The challenge is to preserve, extend, and optimize suitable concepts, components, and approaches in order to overcome the weaknesses described in Chapters 2−3 and to use multiagent-based autonomous processes in real-world applications.

Keywords

Multiagent System Search Tree Travel Salesman Problem Vehicle Route Problem Global Policy 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Fachmedien Wiesbaden 2016

Authors and Affiliations

  1. 1.Fachbereich 3 (Mathematik & Informatik)Universität BremenBremenGermany

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