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The learnable evolution model in agent-based delivery optimization
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AI
DOI：10.1007/s12293-012-0088-9.png)
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Abstract
En 中文
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.
Keywords:
Learnable evolution model
Multiagent-based simulation
Autonomous logistics
Evolutionary computation
Machine learning
Journal
IF:
2.3
Papers:
456
Citations:
718
Organization
Cited Papers
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