Hyper-heuristics comprise a set of approaches that are motivated (at least in part) by the
goal of automating the design of heuristic methods to solve hard computational search …

Hyper-heuristics can be identified as methodologies that search the space generated by a
finite set of low level heuristics for solving search problems. An iterative hyper-heuristic …

Genetic programming approaches have been employed in the literature to automatically
design constructive heuristics for cutting and packing problems. These heuristics obtain …

The literature shows that one-, two-, and three-dimensional bin packing and knapsack
packing are difficult problems in operational research. Many techniques, including exact …

In this paper we propose and evaluate an evolutionary-based hyper-heuristic approach,
called EH-DVRP, for solving hard instances of the dynamic vehicle routing problem. A hyper …

Hyper-heuristics comprise a set of approaches with the common goal of automating the
design and tuning of heuristic methods to solve hard computational search problems. The …

This thesis presents a programme of research which investigated a genetic programming
hyper-heuristic methodology to automate the heuristic design process for one, two and three …

In a context-aware ubiquitous learning environment, learning systems are aware of students'
locations and learning status in the real world via the use of sensing technologies which …

This paper describes a new hyperheuristic algorithm that performs well over a variety of
different problem classes. A novel method for switching between working on a single …

La presente investigaci´ on se centra en el estudio, dise˜ no y evaluaci´ on de esquemas de
portafolio basados en metaheur´ ısticas para abordar problemas de optimizaci´ on din´ …