Towards the design of heuristics by means of self-assemblyTools Terrazas, German, Landa-Silva, Dario and Krasnogor, Natalio (2010) Towards the design of heuristics by means of self-assembly. In: Developments in Computational Models (DCM 2010), 9-10 July 2010, Edinburgh, UK. Full text not available from this repository.
Official URL: http://arxiv.org/abs/1006.1681v1
AbstractThe 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.
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