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Reasonable breadth-biased: A algorithms

Reasonable breadth-biased: A algorithms A+ algorithms are A algorithms (as studied by Nilsson) satisfying two additional constraints which magnify the breadth aspect of a graph search. Use of A+ algorithms is perhaps most plausible when it is desirable to generate alternative goal nodes on optimal paths. There are two principal results for A+ algorithms. First, if A 1 and A 2 are A+ algorithms and A 2 is as well informed as A 1 then A 2 expands no more nodes than A1 does. Second, if an A+ algorithm is modified so as to return a set of optimal paths and the monotone condition is satisfied, the A+ algorithm returns a set of solutions consisting of an optimal path to each goal node on an optimal path. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM SIGART Bulletin Association for Computing Machinery

Reasonable breadth-biased: A algorithms

ACM SIGART Bulletin , Volume (78) – Oct 1, 1981

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Publisher
Association for Computing Machinery
Copyright
Copyright © 1981 by ACM Inc.
ISSN
0163-5719
DOI
10.1145/1056737.1056739
Publisher site
See Article on Publisher Site

Abstract

A+ algorithms are A algorithms (as studied by Nilsson) satisfying two additional constraints which magnify the breadth aspect of a graph search. Use of A+ algorithms is perhaps most plausible when it is desirable to generate alternative goal nodes on optimal paths. There are two principal results for A+ algorithms. First, if A 1 and A 2 are A+ algorithms and A 2 is as well informed as A 1 then A 2 expands no more nodes than A1 does. Second, if an A+ algorithm is modified so as to return a set of optimal paths and the monotone condition is satisfied, the A+ algorithm returns a set of solutions consisting of an optimal path to each goal node on an optimal path.

Journal

ACM SIGART BulletinAssociation for Computing Machinery

Published: Oct 1, 1981

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