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sights, critical ways and abstractions: What is the difference anyway?
m. helmet and C. domshlak
In their seed work, Helmert and Domshlak classify the most important admissible heuristics for optimal planning and studying how the different heuristics compares with each other through a concept of dominance under polynomial timing. This is one of the first theoretical studies how different heuristics compare and illuminates where the most promising research lines are located. During the examination, the authors have empirically show the landmarks (LM-Cut) Heuristic, that it is an excellent polynomial, which is equipped on the stubborn optimal extinguishing relaxation heuristic, and like a standard A * algorithm it is is much better than the prior art in optimal planning. The LM-Cut Heuristic has been the undisputed best heuristic for optimal planning, a source of motivation and the baseline for comparison to the following work in optimal planning for many years, and it was also used in areas over optimal classical planning.
width first heuristic search
r. Zhou and E. Hansen
This paper published in the ICAPS 2004 and later in artificial intelligence showed that the memory requirements for divide-and-erobic stupid reading methods can be significantly reduced by using a wide first search strategy, rather than the best first search strategy due to the resulting resulting Reduction of the number of border nodes that need to be stored in the reminder. It introduced a family of such width-first heuristic search algorithms containing a broad first broad and bonded, width-first iterative depression A * and the approximate but efficient divide-and-erobic blades and then influences other algorithms like The at all times beam split search. The algorithms were evaluated not only on typical search benchmarks, but also on multiple domain-independent strip planning benchmarks, which show both the simple implementation of the algorithms, the resulting reduction of memory consumption and other benefits - a research direction that inspires the search and planning has research communities.
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