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CIDM
2007
IEEE
15 years 6 months ago
K2GA: Heuristically Guided Evolution of Bayesian Network Structures from Data
— We present K2GA, an algorithm for learning Bayesian network structures from data. K2GA uses a genetic algorithm to perform stochastic search, while employing a modified versio...
Eli Faulkner
EH
2003
IEEE
127views Hardware» more  EH 2003»
15 years 5 months ago
Comparing Different Serial and Parallel Heuristics to Design Combinational Logic Circuits
In this paper, we perform a comparative study of different heuristics used to design combinational logic circuits. The use of local search hybridized with a genetic algorithm and ...
Carlos A. Coello Coello, Enrique Alba, Gabriel Luq...
101
Voted
DEXA
2001
Springer
91views Database» more  DEXA 2001»
15 years 5 months ago
Towards the Development of Heuristics for Automatic Query Expansion
Abstract. In this paper we study the performance of linguisticallymotivated conflation techniques for Information Retrieval in Spanish. In particular, we have studied the applicat...
Jesús Vilares, Manuel Vilares Ferro, Miguel...
99
Voted
IJCAI
2001
15 years 1 months ago
The Exponentiated Subgradient Algorithm for Heuristic Boolean Programming
Boolean linear programs (BLPs) are ubiquitous in AI. Satisfiability testing, planning with resource constraints, and winner determination in combinatorial auctions are all example...
Dale Schuurmans, Finnegan Southey, Robert C. Holte
GECCO
2009
Springer
146views Optimization» more  GECCO 2009»
15 years 7 months ago
Analyzing the landscape of a graph based hyper-heuristic for timetabling problems
Hyper-heuristics can be thought of as “heuristics to choose heuristics”. They are concerned with adaptively finding solution methods, rather than directly producing a solutio...
Gabriela Ochoa, Rong Qu, Edmund K. Burke