The ABC algorithm is one of the popular optimization algorithms and has been used
successfully in solving many real-world problems. Numeric, binary, integer, mixed integer …

Hyper-heuristics are search techniques for selecting, generating, and sequencing (meta)-
heuristics to solve challenging optimization problems. They differ from traditional (meta) …

Meta-heuristic algorithms inspired by biological species have become very popular in recent
years. Collective intelligence of various social insects such as ants, bees, wasps, termites …

The Vehicle Routing Problem (VRP) is one of the most intensively studied combinatorial
optimisation problems for which numerous models and algorithms have been proposed. To …

Truck-drone hybrid delivery is a hybrid one combining the advantages including large
capacity of truck and high travel speed of drone together. Vehicle routing problem with …

The study on multiple unmanned aerial vehicles (UAVs) reconnaissance task allocation
problem is an important research field, which is significant for both military and civilian …

Multiple traveling salesmen problem (MTSP) is not only a generalization of the traveling
salesman problem (TSP), but also more suitable for modeling practical problems in the real …

Task scheduling of multiple UAVs has become a highly active area of research in recent
years. Previous research has generally solved the problem in a whole manner, which makes …

To improve energy awareness of unmanned autonomous vehicles, it is critical to co-optimize
task planning and energy scheduling. To the best of our knowledge, most of the existing task …

A hybrid artificial bee colony algorithm (AC-ABC) with high robustness is proposed to solve
the multiple traveling salesman problem (MTSP) with multiple depots. It initially conducts …