@inproceedings { , title = {Towards the design of heuristics by means of self-assembly}, abstract = {The current investigations on hyper-heuristics design have sprung up in two different flavours: heuristics that choose heuristics and heuristics that generate heuristics. In the latter, the goal is to develop a problem-domain independent strategy to automatically generate a good performing heuristic for the problem at hand. This can be done, for example, by automatically selecting and combining different low-level heuristics into a problem specific and effective strategy. Hyper-heuristics raise the level of generality on automated problem solving by attempting to select and/or generate tailored heuristics for the problem at hand. Some approaches like genetic programming have been proposed for this. In this paper, we explore an elegant nature-inspired alternative based on self-assembly construction processes, in which structures emerge out of local interactions between autonomous components. This idea arises from previous works in which computational models of self-assembly were subject to evolutionary design in order to perform the automatic construction of user-defined structures. Then, the aim of this paper is to present a novel methodology for the automated design of heuristics by means of self-assembly.}, conference = {Developments in Computational Models (DCM 2010)}, organization = {Edinburgh, UK}, publicationstatus = {Published}, url = {https://nottingham-repository.worktribe.com/output/1011932}, keyword = {hyperheuristics, cooperative heuristics, heuristics metaheuristics,}, year = {2010}, author = {Terrazas, German and Landa-Silva, Dario and Krasnogor, Natalio} }