abstract = "In dynamic dial-a-ride problems a fleet of vehicles
need to handle transportation requests within time. We
research how to create a decentralized multi-agent
system that can solve the dynamic dial-a-ride problem.
Normally multi-agent systems are hand designed for each
specific application. In this paper we research the
applicability of genetic programming to automatically
program a multi-agent system that solves dial-a-ride
problems. We evaluated the evolved system by running a
number of simulations and compared it's performance to
a selection hyper-heuristic. The results shows that
genetic programming can be a viable alternative to hand
constructing multi-agent systems.",
notes = "Also known as \cite{2330832} Distributed at
GECCO-2012.