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CG
2004
Springer
15 years 3 months ago
The Relative History Heuristic
In this paper a new method is described for move ordering, called the relative history heuristic. It is a combination of the history heuristic and the butterfly heuristic. Instead...
Mark H. M. Winands, Erik C. D. van der Werf, H. Ja...
STOC
1996
ACM
118views Algorithms» more  STOC 1996»
15 years 1 months ago
Towards an Analysis of Local Optimization Algorithms
We introduce a variant of Aldous and Vazirani's \Go with the winners" algorithm that can be used for search graphs that are not trees. We analyze the algorithm in terms ...
Tassos Dimitriou, Russell Impagliazzo
COMGEO
2004
ACM
14 years 9 months ago
A local search approximation algorithm for k-means clustering
In k-means clustering we are given a set of n data points in d-dimensional space d and an integer k, and the problem is to determine a set of k points in d , called centers, to mi...
Tapas Kanungo, David M. Mount, Nathan S. Netanyahu...
ICTAI
2006
IEEE
15 years 3 months ago
Finding Crucial Subproblems to Focus Global Search
Traditional global search heuristics to solve constraint satisfaction problems focus on properties of an individual variable that mandate early search attention. If, however, one ...
Susan L. Epstein, Richard J. Wallace
JAIR
2006
111views more  JAIR 2006»
14 years 9 months ago
Learning in Real-Time Search: A Unifying Framework
Real-time search methods are suited for tasks in which the agent is interacting with an initially unknown environment in real time. In such simultaneous planning and learning prob...
Vadim Bulitko, Greg Lee