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121
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NIPS
2004
15 years 5 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»
15 years 10 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,...
149
Voted
CPAIOR
2008
Springer
15 years 5 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
139
Voted
AI
2002
Springer
15 years 3 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
121
Voted
CGO
2007
IEEE
15 years 10 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