Our academic interests lie primarily in the fields of metaheuristic method-
ologies, combinatorial optimisation problems, as well as the interface be-
tween operational research and artificial intelligence. In particular, we
value mathematical foundations and emphasize practical applications.
The main solution methods, hybrid search approaches, are based on ex-
ploiting adaptive memory structures to explore effective trajectories through
complex solution spaces. These methods are now well recognized to pro-
duce best known results for solving many complex problems. In fact, their
development has become the focus of leading societies.
We are especially interested in designing, analysing and implementing
novel algorithms for challenging combinatorial problems in interdisci-
plinary research. Target applications are a wide range of problems in
scheduling area, computational biology, supply chains, and human re-