Hyper-heuristics have emerged as a way to raise the level of generality of search techniques
for computational search problems. This is in contrast to many approaches, which represent …

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

This paper studies the green vehicle routing problem with simultaneous pickup and delivery
(G-VRPSPD). It aims to minimize fuel consumption costs while satisfying customer pickup …

Sensibly highlighting the hidden structures of many real-world networks has attracted
growing interest and triggered a vast array of techniques on what is called nowadays …

Hyper-heuristics aim at interchanging different solvers while solving a problem. The idea is
to determine the best approach for solving a problem at its current state. This way, every time …

Wind farm layout optimisation is a challenging real-world problem which requires the
discovery of trade-off solutions considering a variety of conflicting criteria, such as …

This paper proposed a novel approach for a practical version of the cold chain, namely
location-routing problem-based low-carbon cold chain (LRPLCCC). In the proposed bi …

Educational timetabling problems, namely, university examination timetabling, university
course timetabling and school timetabling, are combinatorial optimization problems …

In the real world, there are many complex problems in engineering. Every problem has a
level of computational complexity, starting from simple problems and reaching NP-hard …

Metaheuristics, being tailored to each particular domain by experts, have been successfully
applied to many computationally hard optimization problems. However, once implemented …