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NIPS
2004
13 years 9 months ago
Heuristics for Ordering Cue Search in Decision Making
Simple lexicographic decision heuristics that consider cues one at a time in a particular order and stop searching for cues as soon as a decision can be made have been shown to be...
Peter M. Todd, Anja Dieckmann
GECCO
2007
Springer
193views Optimization» more  GECCO 2007»
14 years 1 months ago
Approximating covering problems by randomized search heuristics using multi-objective models
The main aim of randomized search heuristics is to produce good approximations of optimal solutions within a small amount of time. In contrast to numerous experimental results, th...
Tobias Friedrich, Nils Hebbinghaus, Frank Neumann,...
CPAIOR
2008
Springer
13 years 9 months ago
The Accuracy of Search Heuristics: An Empirical Study on Knapsack Problems
Theoretical models for the evaluation of quickly improving search strategies, like limited discrepancy search, are based on specific assumptions regarding the probability that a va...
Daniel H. Leventhal, Meinolf Sellmann
AI
2002
Springer
13 years 7 months ago
Improving heuristic mini-max search by supervised learning
This article surveys three techniques for enhancing heuristic game-tree search pioneered in the author's Othello program Logistello, which dominated the computer Othello scen...
Michael Buro
CGO
2007
IEEE
14 years 1 months ago
Evaluating Heuristic Optimization Phase Order Search Algorithms
Program-specific or function-specific optimization phase sequences are universally accepted to achieve better overall performance than any fixed optimization phase ordering. A ...
Prasad Kulkarni, David B. Whalley, Gary S. Tyson