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 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 …

Hyper-heuristics is a fairly recent technique that aims at effectively solving various real-world
optimization problems. This is the first book on hyper-heuristics, and aims to bring together …

Knowledge-based Configuration incorporates knowledge representation formalisms to
capture complex product models and reasoning methods to provide intelligent interactive …

One-and two-dimensional packing and cutting problems occur in many commercial contexts,
and it is often important to be able to get good-quality solutions quickly. Fairly simple …

This paper proposes a novel hyper-heuristic algorithm termed evolutionary multi-mode slime
mold optimization (EMSMO) for addressing continuous optimization problems. The …

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 …

Configuration Knowledge Representation and Reasoning Page 1 1 Configuration Knowledge
Representation and Reasoning Configuration Knowledge Representation and Reasoning …

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 …

Limited attention has been paid to assessing the generality performance of hyper-heuristics.
The performance of hyper-heuristics has been predominately assessed in terms of optimality …