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2011
IEEE

Agent-based Pickup and Delivery Planning: The Learnable Evolution Model Approach

8 years 9 months ago
Agent-based Pickup and Delivery Planning: The Learnable Evolution Model Approach
—The Dynamic Vehicle Routing Problem (DVRP) is an optimization problem in which agents deliver orders that are not known in advance to the routing. Partial solutions need to be adapted to continuously accommodate new orders within dynamically changing conditions. This research focuses on using a combination of multiagent-based autonomous control with non-Darwinian evolutionary optimization. In order to compile transport plans and render optimized decisions agents managing transport vehicles employ a guided evolutionary computation method, called the learnable evolution model (LEM). Implementation and experimental evaluation of the method is performed within the PlaSMA multiagent simulation platform. Keywords-Multiagent-based Simulation; Autonomous Logistics; Learnable Evolution Model; Evolutionary Computation;
Janusz Wojtusiak, Tobias Warden, Otthein Herzog
Added 13 Dec 2011
Updated 13 Dec 2011
Type Journal
Year 2011
Where CISIS
Authors Janusz Wojtusiak, Tobias Warden, Otthein Herzog
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