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CP
2004
Springer
15 years 11 months ago
Heuristic Selection for Stochastic Search Optimization: Modeling Solution Quality by Extreme Value Theory
The success of stochastic algorithms is often due to their ability to effectively amplify the performance of search heuristics. This is certainly the case with stochastic sampling ...
Vincent A. Cicirello, Stephen F. Smith
GECCO
2004
Springer
148views Optimization» more  GECCO 2004»
15 years 11 months ago
Evolving Local Search Heuristics for SAT Using Genetic Programming
Satisfiability testing (SAT) is a very active area of research today, with numerous real-world applications. We describe CLASS2.0, a genetic programming system for semi-automatica...
Alex S. Fukunaga
HCI
2009
15 years 3 months ago
Heuristic Evaluations of Bioinformatics Tools: A Development Case
Heuristic evaluations are an efficient low cost method for identifying usability problems in a biomedical research tool. Combining the results of these evaluations with findings fr...
Barbara Mirel, Zach Wright
ICCAD
2001
IEEE
124views Hardware» more  ICCAD 2001»
16 years 3 months ago
Partition-Based Decision Heuristics for Image Computation Using SAT and BDDs
Methods based on Boolean satisfiability (SAT) typically use a Conjunctive Normal Form (CNF) representation of the Boolean formula, and exploit the structure of the given problem ...
Aarti Gupta, Zijiang Yang, Pranav Ashar, Lintao Zh...
AIPS
2000
15 years 7 months ago
Planning with Incomplete Information as Heuristic Search in Belief Space
The formulation of planning as heuristic search with heuristics derived from problem representations has turned out to be a fruitful approach for classical planning. In this paper...
Blai Bonet, Hector Geffner