MACS-VRPTW: a multiple ant colony system for vehicle routing problems with time windows
New ideas in optimization
Artificial Immune Systems: A New Computational Intelligence Paradigm
Artificial Immune Systems: A New Computational Intelligence Paradigm
IIS '97 Proceedings of the 1997 IASTED International Conference on Intelligent Information Systems (IIS '97)
An immunity approach to strategic behavioral control
Engineering Applications of Artificial Intelligence
Application areas of AIS: The past, the present and the future
Applied Soft Computing
Rescheduling and optimization of logistic processes using GA and ACO
Engineering Applications of Artificial Intelligence
A Neuro-Immune Algorithm to Solve the Capacitated Vehicle Routing Problem
ICARIS '08 Proceedings of the 7th international conference on Artificial Immune Systems
Mathematical modeling of immune suppression
ICARIS'05 Proceedings of the 4th international conference on Artificial Immune Systems
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A typical Vehicle Dispatching Problem (VDP) for a port container terminal often involves offline resource allocation and is often successfully solved by heuristics algorithms. In this research, an autonomous and decentralized vehicle dispatching algorithm is proposed in which the algorithm is inspired by the human immune system. Specifically, the proposed algorithm is inspired by the cell-mediate immune response of T-cells that possess the capability of exploring the environment and providing an adaptive and specific immune response to the invading antigens. We conduct extensive simulation studies to study the performance of the algorithm in solving a typical vehicle dispatch problem derived from realistic terminal configurations and operational constraints. The results show good vehicle utilization and low computational cost when comparing with a GA-based algorithm.