The learnable evolution model in agent-based delivery optimization |
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| Authors: | Janusz Wojtusiak Tobias Warden Otthein Herzog |
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| Institution: | 1. Machine Learning and Inference Laboratory, George Mason University, Fairfax, VA, USA
2. Center for Computing and Communication Technologies, University of Bremen, Bremen, Germany
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| Abstract: | The learnable evolution model is a stochastic optimization method which employs machine learning to guide the optimization process. LEM3, its newest implementation, combines its machine learning mode with other search operators. The presented research concerns its application within a multi-agent system for autonomous control of container on-carriage operations. Specifically, LEM3 is used by transport management agents that act on behalf of the trucks of a forwarding agency for the planning of individual transport schedules. |
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